{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To run this, press \"*Runtime*\" and press \"*Run all*\" on a **free** Tesla T4 Google Colab instance!\n",
    "<div class=\"align-center\">\n",
    "<a href=\"https://unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",
    "<a href=\"https://discord.gg/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord button.png\" width=\"145\"></a>\n",
    "<a href=\"https://docs.unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/blob/main/images/documentation%20green%20button.png?raw=true\" width=\"125\"></a></a> Join Discord if you need help + \u2b50 <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> \u2b50\n",
    "</div>\n",
    "\n",
    "To install Unsloth your local device, follow [our guide](https://docs.unsloth.ai/get-started/install-and-update). This notebook is licensed [LGPL-3.0](https://github.com/unslothai/notebooks?tab=LGPL-3.0-1-ov-file#readme).\n",
    "\n",
    "You will learn how to do [data prep](#Data), how to [train](#Train), how to [run the model](#Inference), & [how to save it](#Save)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "jGot6ycX35Vc"
   },
   "source": [
    "### News"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "W3i_y5ph35Ve"
   },
   "source": [
    "\n",
    "Introducing FP8 precision training for faster RL inference. [Read Blog](https://docs.unsloth.ai/new/fp8-reinforcement-learning).\n",
    "\n",
    "Unsloth's [Docker image](https://hub.docker.com/r/unsloth/unsloth) is here! Start training with no setup & environment issues. [Read our Guide](https://docs.unsloth.ai/new/how-to-train-llms-with-unsloth-and-docker).\n",
    "\n",
    "[gpt-oss RL](https://docs.unsloth.ai/new/gpt-oss-reinforcement-learning) is now supported with the fastest inference & lowest VRAM. Try our [new notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-(20B)-GRPO.ipynb) which creates kernels!\n",
    "\n",
    "Introducing [Vision](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl) and [Standby](https://docs.unsloth.ai/basics/memory-efficient-rl) for RL! Train Qwen, Gemma etc. VLMs with GSPO - even faster with less VRAM.\n",
    "\n",
    "Visit our docs for all our [model uploads](https://docs.unsloth.ai/get-started/all-our-models) and [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "zA8WYbef35Vg"
   },
   "source": [
    "### Installation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "tm4RTeDr35Vi"
   },
   "outputs": [],
   "source": "%%capture\nimport os\n\n!pip install pip3-autoremove\n!pip install torch torchvision torchaudio xformers --index-url https://download.pytorch.org/whl/cu128\n!pip install unsloth\n!pip install transformers==4.48\n!pip install --no-deps trl==0.22.2\n!pip install torchtune torchao vector_quantize_pytorch einx tiktoken xcodec2==0.1.5 --no-deps\n!pip install omegaconf torchcodec \"datasets>=3.4.1,<4.0.0\"\n%env UNSLOTH_DISABLE_FAST_GENERATION = 1"
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "AkWYsztAs9Ky"
   },
   "source": [
    "### Unsloth\n",
    "\n",
    "`FastModel` supports loading nearly any model now! This includes Vision and Text models!\n",
    "\n",
    "Thank you to [Etherl](https://huggingface.co/Etherll) for creating this notebook!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 212,
     "referenced_widgets": [
      "8a2659e604fa4b099bc1ae6834967704",
      "8e22db40969249a59b10c3f762e7049f",
      "5fda0b8297474063b07fe15c90e211de",
      "4008ec319fec4cdeb5a946b1787b0acf",
      "ecd2612e3de54eb3a85be34f9c70e01e",
      "f72b78744a25478d8db069cb536b74fe",
      "a3688b729eaa4f0b81a59b13bd78644e",
      "b6b6a75140bf454c8168600f03827f2d",
      "e94f99e69e6842e489879240be46c060",
      "b06ac18e87d944049fadde7a085e8fd4",
      "c565223736354c85b636f0cbe01b5eac"
     ]
    },
    "id": "QmUBVEnvCDJv",
    "outputId": "6f94c990-9b42-4524-e150-9ca6d8f2cfbe"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\ud83e\udda5 Unsloth: Will patch your computer to enable 2x faster free finetuning.\n",
      "\ud83e\udda5 Unsloth Zoo will now patch everything to make training faster!\n",
      "==((====))==  Unsloth 2025.3.19: Fast Llama patching. Transformers: 4.48.0.\n",
      "   \\\\   /|    Tesla T4. Num GPUs = 1. Max memory: 14.741 GB. Platform: Linux.\n",
      "O^O/ \\_/ \\    Torch: 2.6.0+cu124. CUDA: 7.5. CUDA Toolkit: 12.4. Triton: 3.2.0\n",
      "\\        /    Bfloat16 = FALSE. FA [Xformers = 0.0.29.post3. FA2 = False]\n",
      " \"-____-\"     Free license: http://github.com/unslothai/unsloth\n",
      "Unsloth: Fast downloading is enabled - ignore downloading bars which are red colored!\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8a2659e604fa4b099bc1ae6834967704",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Loading checkpoint shards:   0%|          | 0/2 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unsloth/Llasa-1B does not have a padding token! Will use pad_token = <|finetune_right_pad_id|>.\n"
     ]
    }
   ],
   "source": [
    "from unsloth import FastLanguageModel\n",
    "import torch\n",
    "max_seq_length = 2048 # Choose any for long context!\n",
    "fourbit_models = [\n",
    "    # 4bit dynamic quants for superior accuracy and low memory use\n",
    "    \"unsloth/gemma-3-4b-it-unsloth-bnb-4bit\",\n",
    "    \"unsloth/gemma-3-12b-it-unsloth-bnb-4bit\",\n",
    "    \"unsloth/gemma-3-27b-it-unsloth-bnb-4bit\",\n",
    "    # Qwen3 new models\n",
    "    \"unsloth/Qwen3-4B-unsloth-bnb-4bit\",\n",
    "    \"unsloth/Qwen3-8B-unsloth-bnb-4bit\",\n",
    "    # Other very popular models!\n",
    "    \"unsloth/Llama-3.1-8B\",\n",
    "    \"unsloth/Llama-3.2-3B\",\n",
    "    \"unsloth/Llama-3.3-70B\",\n",
    "    \"unsloth/mistral-7b-instruct-v0.3\",\n",
    "    \"unsloth/Phi-4\",\n",
    "] # More models at https://huggingface.co/unsloth\n",
    "\n",
    "model, tokenizer = FastLanguageModel.from_pretrained(\n",
    "    model_name = \"unsloth/Llasa-1B\",\n",
    "    max_seq_length = max_seq_length,\n",
    "    dtype = None, # Select None for auto detection\n",
    "    load_in_4bit = False, # Choose True for 4bit which reduces memory\n",
    "    # token = \"hf_...\", # use one if using gated models like meta-llama/Llama-2-7b-hf\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "SXd9bTZd1aaL"
   },
   "source": [
    "We now add LoRA adapters so we only need to update 1 to 10% of all parameters!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "6bZsfBuZDeCL",
    "outputId": "bf64d842-5a0a-41a1-d96f-8c68ea0c2586"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Not an error, but Unsloth cannot patch MLP layers with our manual autograd engine since either LoRA adapters\n",
      "are not enabled or a bias term (like in Qwen) is used.\n",
      "Not an error, but Unsloth cannot patch Attention layers with our manual autograd engine since either LoRA adapters\n",
      "are not enabled or a bias term (like in Qwen) is used.\n",
      "Not an error, but Unsloth cannot patch O projection layer with our manual autograd engine since either LoRA adapters\n",
      "are not enabled or a bias term (like in Qwen) is used.\n",
      "Unsloth 2025.3.19 patched 28 layers with 0 QKV layers, 0 O layers and 0 MLP layers.\n"
     ]
    }
   ],
   "source": [
    "model = FastLanguageModel.get_peft_model(\n",
    "    model,\n",
    "    r = 128, # Choose any number > 0 ! Suggested 8, 16, 32, 64, 128\n",
    "    target_modules = [\"q_proj\", \"v_proj\"],\n",
    "    lora_alpha = 128,\n",
    "    lora_dropout = 0, # Supports any, but = 0 is optimized\n",
    "    bias = \"none\",    # Supports any, but = \"none\" is optimized\n",
    "    # [NEW] \"unsloth\" uses 30% less VRAM, fits 2x larger batch sizes!\n",
    "    use_gradient_checkpointing = \"unsloth\", # True or \"unsloth\" for very long context\n",
    "    random_state = 3407,\n",
    "    use_rslora = False,  # We support rank stabilized LoRA\n",
    "    loftq_config = None, # And LoftQ\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vITh0KVJ10qX"
   },
   "source": [
    "<a name=\"Data\"></a>\n",
    "### Data Prep  \n",
    "\n",
    "We will use the `MrDragonFox/Elise`, which is designed for training TTS models. Ensure that your dataset follows the required format:\n",
    "**text, audio**. You can modify this section to accommodate your own dataset, but maintaining the correct structure is essential for optimal training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "LjY75GoYUCB8"
   },
   "outputs": [],
   "source": [
    "from datasets import load_dataset\n",
    "dataset = load_dataset(\"MrDragonFox/Elise\", split = \"train\")\n",
    "OUTPUT_DIR = 'processed_data_memmap'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "zK94B-Pfioto",
    "outputId": "19d2be12-7f04-416c-a1a5-0e1af69c6048"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "You are using a model of type xcodec2 to instantiate a model of type xcodec. This is not supported for all configurations of models and can yield errors.\n",
      "Processing: 100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 1195/1195 [09:41<00:00,  2.05it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dataset loaded for split 'train'. Number of samples: 1195\n",
      "Moving XCodec2 model to cpu\n"
     ]
    }
   ],
   "source": [
    "#@title Tokenization Function\n",
    "\n",
    "import os\n",
    "import numpy as np\n",
    "from datasets import load_dataset\n",
    "import torch\n",
    "import torchaudio\n",
    "from transformers import AutoTokenizer\n",
    "from xcodec2.modeling_xcodec2 import XCodec2Model\n",
    "from tqdm import tqdm\n",
    "from torch.utils.data import Dataset\n",
    "\n",
    "XCODEC2_MODEL_NAME = \"HKUST-Audio/xcodec2\"\n",
    "SAMPLE_RATE = 16000\n",
    "DEVICE = \"cuda\"\n",
    "\n",
    "def preprocess_and_save(\n",
    "    dataset,\n",
    "    output_dir: str,\n",
    "    tokenizer: AutoTokenizer,\n",
    "    codec_model: XCodec2Model,\n",
    "    sample_rate: int = 16000,\n",
    "    max_length: int = 2048,\n",
    "    device: str = \"cuda\" if torch.cuda.is_available() else \"cpu\"\n",
    "):\n",
    "    codec_model = codec_model.to(device).eval()\n",
    "    os.makedirs(output_dir, exist_ok=True)\n",
    "    memmap_path = os.path.join(output_dir, f\"input_ids.memmap\")\n",
    "    shape_path = os.path.join(output_dir, f\"input_ids_shape.npy\")\n",
    "    num_samples = len(dataset)\n",
    "    shape = (num_samples, max_length)\n",
    "    try:\n",
    "        arr = np.memmap(memmap_path, dtype=np.int32, mode='w+', shape=shape)\n",
    "    except Exception as e:\n",
    "        raise e\n",
    "    valid_sequences_count = 0\n",
    "    skipped_count = 0\n",
    "    for idx, example in tqdm(enumerate(dataset), total=num_samples, desc=f\"Processing\"):\n",
    "        try:\n",
    "            if 'text' not in example or example['text'] is None:\n",
    "                skipped_count += 1\n",
    "                continue\n",
    "            text = f\"<|TEXT_UNDERSTANDING_START|>{example['text']}<|TEXT_UNDERSTANDING_END|>\"\n",
    "            text_ids = tokenizer.encode(text, add_special_tokens=False)\n",
    "            if \"audio\" not in example or \"array\" not in example[\"audio\"] or \"sampling_rate\" not in example[\"audio\"] or example[\"audio\"][\"array\"] is None:\n",
    "                skipped_count += 1\n",
    "                continue\n",
    "            waveform = torch.tensor(example[\"audio\"][\"array\"]).float()\n",
    "            original_sr = example[\"audio\"][\"sampling_rate\"]\n",
    "            if original_sr != sample_rate:\n",
    "              waveform = torchaudio.functional.resample(waveform, original_sr, sample_rate)\n",
    "\n",
    "            original_shape_after_resample = waveform.shape\n",
    "            waveform = waveform.squeeze()\n",
    "            if waveform.dim() == 0:\n",
    "                skipped_count += 1\n",
    "                continue\n",
    "            elif waveform.dim() > 1:\n",
    "                waveform = waveform[0]\n",
    "                if waveform.dim() != 1:\n",
    "                    skipped_count += 1\n",
    "                    continue\n",
    "            final_waveform = waveform.unsqueeze(0).to(device)\n",
    "            speech_codes = None\n",
    "            with torch.inference_mode():\n",
    "                speech_codes_raw = codec_model.encode_code(final_waveform)\n",
    "                speech_codes = speech_codes_raw[0][0]\n",
    "\n",
    "            codes_np = speech_codes.cpu().numpy()\n",
    "            speech_token_ids = [f\"<|s_{code}|>\" for code in codes_np]\n",
    "            speech_token_ids = tokenizer.convert_tokens_to_ids(speech_token_ids)\n",
    "            speech_ids = (\n",
    "                [tokenizer.convert_tokens_to_ids(\"<|SPEECH_GENERATION_START|>\")]\n",
    "                + speech_token_ids\n",
    "                + [tokenizer.convert_tokens_to_ids(\"<|SPEECH_GENERATION_END|>\")]\n",
    "            )\n",
    "            max_text_space = max_length - len(speech_ids)\n",
    "            if max_text_space < 0:\n",
    "                skipped_count += 1\n",
    "                continue\n",
    "            truncated_text_ids = text_ids[:max_text_space]\n",
    "            combined_sequence = truncated_text_ids + speech_ids\n",
    "            padding_length = max_length - len(combined_sequence)\n",
    "            final_sequence = combined_sequence + [tokenizer.pad_token_id] * padding_length\n",
    "            final_sequence = final_sequence[:max_length]\n",
    "            arr[valid_sequences_count] = np.array(final_sequence, dtype=np.int32)\n",
    "            valid_sequences_count += 1\n",
    "        except Exception as e:\n",
    "            skipped_count += 1\n",
    "            continue\n",
    "        arr.flush()\n",
    "        actual_shape = (valid_sequences_count, max_length)\n",
    "        np.save(shape_path, np.array(actual_shape))\n",
    "\n",
    "\n",
    "class MemmapTTSDataset(Dataset):\n",
    "    def __init__(\n",
    "        self,\n",
    "        data_path: str,\n",
    "        tokenizer: AutoTokenizer,\n",
    "        max_length: int = 2048,\n",
    "    ):\n",
    "        self.tokenizer = tokenizer\n",
    "        self.max_length = max_length\n",
    "\n",
    "        if self.tokenizer.pad_token_id is None:\n",
    "             if self.tokenizer.eos_token_id is not None:\n",
    "                 self.tokenizer.pad_token_id = self.tokenizer.eos_token_id\n",
    "             else:\n",
    "                 raise ValueError(\"Tokenizer passed to Dataset must have pad_token_id set.\")\n",
    "\n",
    "        self.pad_token_id = self.tokenizer.pad_token_id\n",
    "        self.ignore_index = -100\n",
    "\n",
    "        memmap_file = os.path.join(data_path, f'input_ids.memmap')\n",
    "        shape_file = os.path.join(data_path, f'input_ids_shape.npy')\n",
    "\n",
    "        if not os.path.exists(memmap_file) or not os.path.exists(shape_file):\n",
    "             raise FileNotFoundError(f\"Required files not found  in {data_path}\")\n",
    "\n",
    "        self.shape = tuple(np.load(shape_file))\n",
    "        if not self.shape or len(self.shape) != 2 or self.shape[0] == 0:\n",
    "             self.length = 0\n",
    "             self.memmap_data = None\n",
    "        else:\n",
    "             self.memmap_data = np.memmap(memmap_file, dtype='int32', mode='r', shape=self.shape)\n",
    "             self.length = self.shape[0]\n",
    "\n",
    "        try:\n",
    "            self.speech_generation_start_id = tokenizer.convert_tokens_to_ids('<|SPEECH_GENERATION_START|>')\n",
    "            self.speech_generation_end_id = tokenizer.convert_tokens_to_ids('<|SPEECH_GENERATION_END|>')\n",
    "            self.text_understanding_start_id = tokenizer.convert_tokens_to_ids('<|TEXT_UNDERSTANDING_START|>')\n",
    "            self.text_understanding_end_id = tokenizer.convert_tokens_to_ids('<|TEXT_UNDERSTANDING_END|>')\n",
    "            assert isinstance(self.pad_token_id, int)\n",
    "        except Exception as token_err:\n",
    "            raise ValueError(f\"Tokenizer is missing required special tokens or pad_token_id. Error: {token_err}\")\n",
    "\n",
    "    def __len__(self):\n",
    "        return self.length\n",
    "\n",
    "    def replace_tagged_token(self, token_list, target_token_id, new_sequence_ids):\n",
    "        if isinstance(new_sequence_ids, torch.Tensor):\n",
    "            new_sequence_ids = new_sequence_ids.tolist()\n",
    "        try:\n",
    "            idx = token_list.index(target_token_id)\n",
    "            return token_list[:idx] + new_sequence_ids + token_list[idx+1:]\n",
    "        except ValueError:\n",
    "            return token_list\n",
    "\n",
    "    def pad_sequence_torch(self, sequence, max_length, value=0):\n",
    "        current_len = len(sequence)\n",
    "        if current_len >= max_length:\n",
    "            return sequence[:max_length]\n",
    "        else:\n",
    "            padding_size = max_length - current_len\n",
    "            padding = torch.full((padding_size,), value, dtype=sequence.dtype, device=sequence.device)\n",
    "            return torch.cat([sequence, padding], dim=0)\n",
    "\n",
    "    def __getitem__(self, idx):\n",
    "        if self.memmap_data is None or idx >= self.length:\n",
    "            raise IndexError(f\"Index out of bounds (length={self.length}).\")\n",
    "\n",
    "        raw_input_ids_np = self.memmap_data[idx]\n",
    "        input_ids_tensor_raw = torch.tensor(raw_input_ids_np, dtype=torch.long)\n",
    "        input_ids = None\n",
    "        speech_gen_idx_in_final = -1\n",
    "\n",
    "        try:\n",
    "            text_start_idx = (input_ids_tensor_raw == self.text_understanding_start_id).nonzero(as_tuple=True)[0][0].item()\n",
    "            text_end_idx = (input_ids_tensor_raw == self.text_understanding_end_id).nonzero(as_tuple=True)[0][0].item()\n",
    "            speech_start_idx = (input_ids_tensor_raw == self.speech_generation_start_id).nonzero(as_tuple=True)[0][0].item()\n",
    "\n",
    "            speech_end_marker_indices = (input_ids_tensor_raw == self.speech_generation_end_id).nonzero(as_tuple=True)[0]\n",
    "            pad_start_indices = (input_ids_tensor_raw == self.pad_token_id).nonzero(as_tuple=True)[0]\n",
    "\n",
    "            if len(speech_end_marker_indices) > 0:\n",
    "                 speech_end_idx = speech_end_marker_indices[0].item()\n",
    "            elif len(pad_start_indices) > 0:\n",
    "                 speech_end_idx = pad_start_indices[0].item() - 1\n",
    "            else:\n",
    "                 speech_end_idx = len(input_ids_tensor_raw) - 1\n",
    "\n",
    "            if not (text_start_idx < text_end_idx < speech_start_idx < speech_end_idx < len(input_ids_tensor_raw)):\n",
    "                 raise ValueError(\"Parsed indices are invalid or out of order\")\n",
    "\n",
    "            original_text_sequence = input_ids_tensor_raw[:speech_start_idx]\n",
    "            original_speech_sequence_with_markers = input_ids_tensor_raw[speech_start_idx : speech_end_idx +1]\n",
    "            chat = [\n",
    "                {\"role\": \"user\", \"content\": f\"Convert the text to speech:<|TEXT_UNDERSTANDING_START|>\"},\n",
    "                {\"role\": \"assistant\", \"content\": \"<|SPEECH_GENERATION_START|>\"}\n",
    "            ]\n",
    "\n",
    "            try:\n",
    "                 import inspect\n",
    "                 sig = inspect.signature(self.tokenizer.apply_chat_template)\n",
    "                 if 'add_generation_prompt' in sig.parameters:\n",
    "                     templated_ids_list = self.tokenizer.apply_chat_template(chat, tokenize=True, add_generation_prompt=False)\n",
    "                 else:\n",
    "                     templated_ids_list = self.tokenizer.apply_chat_template(chat, tokenize=True)\n",
    "\n",
    "                 final_ids_list = self.replace_tagged_token(templated_ids_list, self.text_understanding_start_id, original_text_sequence.tolist())\n",
    "                 final_ids_list = self.replace_tagged_token(final_ids_list, self.speech_generation_start_id, original_speech_sequence_with_markers.tolist())\n",
    "                 input_ids = torch.tensor(final_ids_list, dtype=torch.long)\n",
    "\n",
    "                 try:\n",
    "                     speech_gen_idx_in_final = (input_ids == self.speech_generation_start_id).nonzero(as_tuple=True)[0][0].item()\n",
    "                 except IndexError:\n",
    "                      speech_gen_idx_in_final = -1\n",
    "            except Exception:\n",
    "                 input_ids = input_ids_tensor_raw\n",
    "                 try:\n",
    "                     speech_gen_idx_in_final = (input_ids == self.speech_generation_start_id).nonzero(as_tuple=True)[0][0].item()\n",
    "                 except IndexError:\n",
    "                     speech_gen_idx_in_final = -1\n",
    "\n",
    "        except Exception:\n",
    "            input_ids = input_ids_tensor_raw\n",
    "            try:\n",
    "                speech_gen_idx_in_final = (input_ids == self.speech_generation_start_id).nonzero(as_tuple=True)[0][0].item()\n",
    "            except IndexError:\n",
    "                speech_gen_idx_in_final = -1\n",
    "\n",
    "        if input_ids is None:\n",
    "            input_ids = input_ids_tensor_raw\n",
    "            try:\n",
    "                speech_gen_idx_in_final = (input_ids == self.speech_generation_start_id).nonzero(as_tuple=True)[0][0].item()\n",
    "            except IndexError:\n",
    "                speech_gen_idx_in_final = -1\n",
    "\n",
    "        labels = torch.full_like(input_ids, self.ignore_index)\n",
    "        if speech_gen_idx_in_final != -1 and speech_gen_idx_in_final < len(input_ids):\n",
    "             labels[speech_gen_idx_in_final:] = input_ids[speech_gen_idx_in_final:].clone()\n",
    "\n",
    "        attention_mask = (input_ids != self.pad_token_id).long()\n",
    "        labels[input_ids == self.pad_token_id] = self.ignore_index\n",
    "\n",
    "        input_ids = self.pad_sequence_torch(input_ids, self.max_length, value=self.pad_token_id)\n",
    "        attention_mask = self.pad_sequence_torch(attention_mask, self.max_length, value=0)\n",
    "        labels = self.pad_sequence_torch(labels, self.max_length, value=self.ignore_index)\n",
    "\n",
    "        return {\n",
    "            'input_ids': input_ids,\n",
    "            'labels': labels,\n",
    "            'attention_mask': attention_mask\n",
    "        }\n",
    "\n",
    "\n",
    "\n",
    "try:\n",
    "    codec_model = XCodec2Model.from_pretrained(XCODEC2_MODEL_NAME)\n",
    "\n",
    "except Exception as e:\n",
    "    raise f\"ERROR loading XCodec2 model: {e}.\"\n",
    "\n",
    "preprocess_and_save(\n",
    "        dataset=dataset,\n",
    "        output_dir=OUTPUT_DIR,\n",
    "        tokenizer=tokenizer,\n",
    "        codec_model=codec_model,\n",
    "        sample_rate=SAMPLE_RATE,\n",
    "        max_length=max_seq_length,\n",
    "        device=DEVICE\n",
    "    )\n",
    "try:\n",
    "    train_dataset = MemmapTTSDataset(\n",
    "        data_path=OUTPUT_DIR,\n",
    "        tokenizer=tokenizer,\n",
    "        max_length=max_seq_length\n",
    "     )\n",
    "    print(f\"Dataset loaded for split 'train'. Number of samples: {len(train_dataset)}\")\n",
    "except Exception as e:\n",
    "    print(f\"Error initializing dataset: {e}\")\n",
    "print(\"Moving XCodec2 model to cpu\")\n",
    "codec_model.to('cpu')\n",
    "torch.cuda.empty_cache()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "idAEIeSQ3xdS"
   },
   "source": [
    "<a name=\"Train\"></a>\n",
    "### Train the model\n",
    "Now let's use Huggingface  `Trainer`! More docs here: [Transformers docs](https://huggingface.co/docs/transformers/main_classes/trainer). We do 60 steps to speed things up, but you can set `num_train_epochs=1` for a full run, and turn off `max_steps=None`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "95_Nn-89DhsL"
   },
   "outputs": [],
   "source": [
    "from transformers import TrainingArguments, Trainer\n",
    "trainer = Trainer(\n",
    "    model = model,\n",
    "    train_dataset = train_dataset,\n",
    "    args = TrainingArguments(\n",
    "        per_device_train_batch_size = 2,\n",
    "        gradient_accumulation_steps = 4,\n",
    "        warmup_steps = 5,\n",
    "        #num_train_epochs = 1, # Set this for 1 full training run.\n",
    "        max_steps = 60,\n",
    "        learning_rate = 5e-4,\n",
    "        logging_steps = 1,\n",
    "        optim = \"adamw_8bit\",\n",
    "        weight_decay = 0.001,\n",
    "        lr_scheduler_type = \"linear\",\n",
    "        seed = 3407,\n",
    "        output_dir = \"outputs\",\n",
    "        report_to = \"none\", # Use TrackIO/WandB etc\n",
    "    ),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "2ejIt2xSNKKp",
    "outputId": "29905f3f-2821-4a42-ea31-9c9b0a20a2a9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "GPU = Tesla T4. Max memory = 14.741 GB.\n",
      "5.713 GB of memory reserved.\n"
     ]
    }
   ],
   "source": [
    "# @title Show current memory stats\n",
    "gpu_stats = torch.cuda.get_device_properties(0)\n",
    "start_gpu_memory = round(torch.cuda.max_memory_reserved() / 1024 / 1024 / 1024, 3)\n",
    "max_memory = round(gpu_stats.total_memory / 1024 / 1024 / 1024, 3)\n",
    "print(f\"GPU = {gpu_stats.name}. Max memory = {max_memory} GB.\")\n",
    "print(f\"{start_gpu_memory} GB of memory reserved.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "id": "yqxqAZ7KJ4oL",
    "outputId": "49df827f-a803-4a1c-f04c-e4127b758cc5"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "==((====))==  Unsloth - 2x faster free finetuning | Num GPUs used = 1\n",
      "   \\\\   /|    Num examples = 1,195 | Num Epochs = 1 | Total steps = 149\n",
      "O^O/ \\_/ \\    Batch size per device = 2 | Gradient accumulation steps = 4\n",
      "\\        /    Data Parallel GPUs = 1 | Total batch size (2 x 4 x 1) = 8\n",
      " \"-____-\"     Trainable parameters = 36,700,160/3,450,801,152 (1.06% trained)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unsloth: Will smartly offload gradients to save VRAM!\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "\n",
       "    <div>\n",
       "      \n",
       "      <progress value='149' max='149' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
       "      [149/149 39:07, Epoch 0/1]\n",
       "    </div>\n",
       "    <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       " <tr style=\"text-align: left;\">\n",
       "      <th>Step</th>\n",
       "      <th>Training Loss</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>6.616200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>6.474000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>6.683500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>6.463900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>5</td>\n",
       "      <td>6.517600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>6</td>\n",
       "      <td>6.493700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>7</td>\n",
       "      <td>6.325800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>8</td>\n",
       "      <td>6.505700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>9</td>\n",
       "      <td>6.686100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>10</td>\n",
       "      <td>5.915500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>11</td>\n",
       "      <td>6.058000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>12</td>\n",
       "      <td>5.716500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>13</td>\n",
       "      <td>5.845100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>14</td>\n",
       "      <td>5.947600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>15</td>\n",
       "      <td>5.726800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>16</td>\n",
       "      <td>6.265100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>17</td>\n",
       "      <td>6.034000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>18</td>\n",
       "      <td>4.950000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>19</td>\n",
       "      <td>5.937000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>20</td>\n",
       "      <td>6.014300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>21</td>\n",
       "      <td>5.892800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>22</td>\n",
       "      <td>5.758100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>23</td>\n",
       "      <td>6.166700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>24</td>\n",
       "      <td>5.715300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>25</td>\n",
       "      <td>6.120200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>26</td>\n",
       "      <td>5.874000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>27</td>\n",
       "      <td>5.383700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>28</td>\n",
       "      <td>5.691700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>29</td>\n",
       "      <td>5.400200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>30</td>\n",
       "      <td>5.064100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>31</td>\n",
       "      <td>6.088000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>32</td>\n",
       "      <td>5.652800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>33</td>\n",
       "      <td>6.156700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>34</td>\n",
       "      <td>5.581900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>35</td>\n",
       "      <td>5.457800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>36</td>\n",
       "      <td>5.862500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>37</td>\n",
       "      <td>5.664300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>38</td>\n",
       "      <td>5.709400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>39</td>\n",
       "      <td>5.385800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>40</td>\n",
       "      <td>5.818100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>41</td>\n",
       "      <td>5.545800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>42</td>\n",
       "      <td>4.954300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>43</td>\n",
       "      <td>5.505500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>44</td>\n",
       "      <td>5.462300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>45</td>\n",
       "      <td>5.564900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>46</td>\n",
       "      <td>5.531200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>47</td>\n",
       "      <td>5.959200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>48</td>\n",
       "      <td>5.411000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>49</td>\n",
       "      <td>5.861100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>50</td>\n",
       "      <td>5.138500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>51</td>\n",
       "      <td>5.671200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>52</td>\n",
       "      <td>5.983500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>53</td>\n",
       "      <td>5.417900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>54</td>\n",
       "      <td>5.203100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>55</td>\n",
       "      <td>5.880900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>56</td>\n",
       "      <td>5.821000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>57</td>\n",
       "      <td>5.583900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>58</td>\n",
       "      <td>5.549700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>59</td>\n",
       "      <td>5.715700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>60</td>\n",
       "      <td>5.298300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>61</td>\n",
       "      <td>5.717000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>62</td>\n",
       "      <td>5.944000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>63</td>\n",
       "      <td>5.786000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>64</td>\n",
       "      <td>5.676600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>65</td>\n",
       "      <td>5.387900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>66</td>\n",
       "      <td>5.694300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>67</td>\n",
       "      <td>5.956100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>68</td>\n",
       "      <td>5.736700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>69</td>\n",
       "      <td>5.825900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>70</td>\n",
       "      <td>5.619800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>71</td>\n",
       "      <td>5.479300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>72</td>\n",
       "      <td>5.310100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>73</td>\n",
       "      <td>5.002400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>74</td>\n",
       "      <td>5.444400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>75</td>\n",
       "      <td>5.465200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>76</td>\n",
       "      <td>5.673300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>77</td>\n",
       "      <td>5.839800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>78</td>\n",
       "      <td>5.650600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>79</td>\n",
       "      <td>5.569800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>80</td>\n",
       "      <td>5.797000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>81</td>\n",
       "      <td>5.536500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>82</td>\n",
       "      <td>5.522400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>83</td>\n",
       "      <td>5.535700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>84</td>\n",
       "      <td>4.631200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>85</td>\n",
       "      <td>6.204700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>86</td>\n",
       "      <td>6.011400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>87</td>\n",
       "      <td>5.710700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>88</td>\n",
       "      <td>5.839000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>89</td>\n",
       "      <td>4.560700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>90</td>\n",
       "      <td>5.773200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>91</td>\n",
       "      <td>5.515000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>92</td>\n",
       "      <td>4.961600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>93</td>\n",
       "      <td>5.294600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>94</td>\n",
       "      <td>5.699300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>95</td>\n",
       "      <td>5.345300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>96</td>\n",
       "      <td>5.747000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>97</td>\n",
       "      <td>6.184800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>98</td>\n",
       "      <td>5.800700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>99</td>\n",
       "      <td>5.004100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>100</td>\n",
       "      <td>5.752300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>101</td>\n",
       "      <td>5.685200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>102</td>\n",
       "      <td>5.667600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>103</td>\n",
       "      <td>5.425300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>104</td>\n",
       "      <td>5.541200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>105</td>\n",
       "      <td>5.369600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>106</td>\n",
       "      <td>5.237900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>107</td>\n",
       "      <td>5.946200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>108</td>\n",
       "      <td>5.990300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>109</td>\n",
       "      <td>5.276000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>110</td>\n",
       "      <td>5.849400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>111</td>\n",
       "      <td>5.784100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>112</td>\n",
       "      <td>5.298300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>113</td>\n",
       "      <td>5.457000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>114</td>\n",
       "      <td>5.903200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>115</td>\n",
       "      <td>5.890500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>116</td>\n",
       "      <td>5.802900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>117</td>\n",
       "      <td>5.527200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>118</td>\n",
       "      <td>5.276900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>119</td>\n",
       "      <td>5.254600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>120</td>\n",
       "      <td>5.564700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>121</td>\n",
       "      <td>6.012800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>122</td>\n",
       "      <td>5.789700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>123</td>\n",
       "      <td>5.944500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>124</td>\n",
       "      <td>5.355200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>125</td>\n",
       "      <td>5.520300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>126</td>\n",
       "      <td>6.081500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>127</td>\n",
       "      <td>5.486900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>128</td>\n",
       "      <td>5.646100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>129</td>\n",
       "      <td>5.291400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>130</td>\n",
       "      <td>5.880500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>131</td>\n",
       "      <td>5.613300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>132</td>\n",
       "      <td>5.769000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>133</td>\n",
       "      <td>5.690100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>134</td>\n",
       "      <td>5.527500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>135</td>\n",
       "      <td>5.602500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>136</td>\n",
       "      <td>5.580900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>137</td>\n",
       "      <td>5.547600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>138</td>\n",
       "      <td>5.408300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>139</td>\n",
       "      <td>5.596300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>140</td>\n",
       "      <td>5.674700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>141</td>\n",
       "      <td>5.623400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>142</td>\n",
       "      <td>5.845800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>143</td>\n",
       "      <td>5.747000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>144</td>\n",
       "      <td>4.276500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>145</td>\n",
       "      <td>5.535900</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>146</td>\n",
       "      <td>5.193100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>147</td>\n",
       "      <td>5.357000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>148</td>\n",
       "      <td>5.422500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>149</td>\n",
       "      <td>5.341400</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table><p>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "trainer_stats = trainer.train()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "id": "pCqnaKmlO1U9"
   },
   "outputs": [],
   "source": [
    "# @title Show final memory and time stats\n",
    "used_memory = round(torch.cuda.max_memory_reserved() / 1024 / 1024 / 1024, 3)\n",
    "used_memory_for_lora = round(used_memory - start_gpu_memory, 3)\n",
    "used_percentage = round(used_memory / max_memory * 100, 3)\n",
    "lora_percentage = round(used_memory_for_lora / max_memory * 100, 3)\n",
    "print(f\"{trainer_stats.metrics['train_runtime']} seconds used for training.\")\n",
    "print(\n",
    "    f\"{round(trainer_stats.metrics['train_runtime']/60, 2)} minutes used for training.\"\n",
    ")\n",
    "print(f\"Peak reserved memory = {used_memory} GB.\")\n",
    "print(f\"Peak reserved memory for training = {used_memory_for_lora} GB.\")\n",
    "print(f\"Peak reserved memory % of max memory = {used_percentage} %.\")\n",
    "print(f\"Peak reserved memory for training % of max memory = {lora_percentage} %.\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ekOmTR1hSNcr"
   },
   "source": [
    "<a name=\"Inference\"></a>\n",
    "### Inference\n",
    "Let's run the model! You can change the prompts\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "cgP6HUMgeTqP"
   },
   "outputs": [],
   "source": [
    "input_text = \"Hey there my name is Elise, <giggles> and I'm a speech generation model that can sound like a person.\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "cellView": "form",
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 75
    },
    "id": "apUdB40Ep6Ki",
    "outputId": "ff84382f-66ca-4677-dc89-d4b8fc64e6fc"
   },
   "outputs": [
    {
     "data": {
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EKYSFhEXEksS2g8eD4EPAw4VCzMNzQ3yCYMJfwmqB34GDQYdBYkDLQCY/4T8s/vk+F727/Gh7lLtLO7n7a3sTeuX6RbsvOu66uDsnO6b7WfrI/KK9Db0OPNL+S/9s/xFALYDrgYbBzUJEgqfDCcM7g+nEKgR/BKAEjkSphKCFhsVeBEFEvAU5RGDDdsNNw3JC4gJlQiGB5cHfAS2AZr+z/71/Jj52vOp9L3y9u9M7hLu0e1D7ZTtXOru6TTsqe0J7ivvPe9z867zLvV19vD1mPn0/TcC2QDBAfkC0gZaCNwHuwq9DFgOfQ3+DFMPdhAGEIYQPhAmECgPqw4yDScOmAwxDPwJMApKC3UH6QQsA1ACVf9I/gr/m/o592D0JvLC8GrvTPAS8bvvhe4V69Xt/+4J8JHtXu4A8lP1y/Ym9iP4Bfq1+3MAbgOmAusE2wZiC5kI6wZ+CMQK8g2sDg4Ocg6GD7kSthCCD/YNbg4/DuwOMQ9xCokJwgbUByoF6wDg/zT/y/8q/XL7lvhS90D3u/SW9A/zAfM28SDw9O8y75zvJPC28WbyhvLY8uvxWPSs9XL4xPjU+/z8uv6dAd/+dQE4A8sHZAdNB9sHigpTDFcO1wuRDZwOeRJqExYRHwyfDWgRvRD2CvgF/gqYDJgIDAQxA+4FFgIV/xL+OP5I+VH6kvgV93b0I/N89Az0bPGB8OftZvFR8RLugO/J78HyMvPC9hv4oPhp98H3qPx5/xv/5ABbAqEC0gS9Bd8FEwb6CvsLSg2MCzcOJBHVFFQPBg6HDHIMJRFPEOAOLgqFCbQIuAcZBn0D+wMvAuv/S/y9+iv9RPp+9nv0bPWA9Q35sPa28fn0+PM78QDxdvai9rv1wfd+9i/02Pdn92T5yfgF/Bj9MgD7AGD+OP2sARoEjwUyBdILNgprCWcLOxN7FscTPhNaD1YOOA9GETEKTwdpCZQLfgfxA38E7QbB/pD6U/zw/aj54PEq9f/3X/O064HrcPHO7JnqSu3E7qbqX+el73HwFe7I7K7x1/bz81Xy1Pom/qX/jP0T+mkDpAaPCLkFCAoEDmoT7g97EjET5RlJHbQacBGEEt0UwxSFE0QQSxONFUUPQwyNCKQAKARKBE//JfxY9qD5vvQv8IjriOqN8OHyvfKx6zXqZe3q6w3oQOnk62DquOxQ8Arppezp8hf3Ovz+/6gAAgOuAioGPAiZCXMLGw9gErsSKRHBFi8YohsLHKUeuhl4F14UgRA5EtYPGgk9CMcGxQLLAfj9lf0UAPn90fZt8DPzpfDR6/7o1OA95cbnGOd+6b7qmulz8JT2ou6P6MTvwva//Dn+/vjq9zL/XAP1BcoGfAfuEIATexUaETcTChgKGG0V/h3YGfYarxOmEt0XkBQ+FJcRuBHWCvUIigkaBzz+0P4b9vX31PX37nHu4OhZ6l3mU+UB61rpvuga6xnsJOzr593pI/A89K/tUu4O9PX5Xf3i/S8ExQP7Br8S8hKZD7wNTxICGIsUHAv3ETQbihXREwoQMBddFPEXZheODbkJiQ9GFF8OCv53/Db66PoN9ur0XPAw70Ppk+k3507mauYT6cLnuukn6/3nfewt7BfuzOti70T2nfl19gn5yv4HArAF6wlsClwKchLaEwgSWBbmGdYbKBqMGYAVoxStEdgWwheJFPAQgxZEDfkGVAe4CKYFKf8b/G714fDx8Efv++dR573mpOYf5yLlxeUs6/zpbeak6J3yoe7H7OzrqPKY9qL57/ut+noCdQfsDOUPcg8IFmccLRhQGpcSdxgsGiIWrRmWGo8Vog82Ee8SPhkyGt4UHgvpBUkJGAtOBhUBkvYc8Yvz9fAl6czhEeea5Zbn6uMN4pbee+ly5wPoQO2H8nHxme8W8KjqV/f8/cb+hwKuBckDiQhJDVQPfxKeGOUUtRQvGSwXrRcIF2wahRu+HPMWtRMHEu8WUhJmCwgBjALTCZwFkvc38YzuResx6gToOuf15AjlOeFU30vfhd9v5pHqDurK6YrvPu4Z8EbwlP0q/XQA9v44ATMHJA03EGoOoxBRE/IWcBj9EH4UhBjzHL8aQRsEGFYYNBe/FcoR6hZUExoLIAh5AxwCHgHg+jjwK+9I7Pnn0+TW5G/khuI13mDf3+Fr4x7lTupR6ovrZO7W8Ur1aPM19R76wv0e/NsEpgfvCgUPHxLFE1wVUBcwHKsbaRhTHOgZnhsCF9YXnBrPFC8PkxCDFN0SJwvXAw0Gjf/I+Z/1xfDd6JXsuOif5bnflt8q5S7jNuVM5ZjnRub050roxunq9H/8fvoz9N7yqPuBABQFsgRjB1kPLRQBEOAUXBIdHbofhRu6GYsYchwxHi0d9RPzFQUWlRRmFG8NywxACVEBSQagAbP7vPLy6YTrGueD6Tvo5uGn277em+NK6J7i+uPp6DbtLuwc8b/0v/Mh+7/1xvIu+xsEOQ0TB0QDnQiMErEbkxloGX8bCiBmH68YIRJ1Gpcfgx9oFqgK8QzRD7sOcBApDMADPf2/+qDzqfHz6h3toOI24S7f/+D44IndtOJG43XqK96S5rPuzfYN+KD1WfPP+BQAIALs/lz6dwgFDiIWrg5oETIY7xzqF2cZiRnUGq0e1hlaGdAYqx02F0sUshXUFIIUkAmqCDoEr//c8uDwUvbM6o7dzuKH4yvfh9+E4/7dVd8w5LfrN+r45rfmefLS907uffSj+DH8r/siAYoDrAZ7DzwSQRAuDsIVsCHMHXAbshk+IQAZDBngGCgaHhmxFZIUrhE6EAcGLQTXBUP+NvYf867uHuko6Fvh9+CR4PPfutwa33nhGeU35sHqpe9c6Vvy9PPW9R/5EPpE+Bj8nv8/DggKrAwAEE0YFRsAHiki8htoH2UZqB0iHawZlhr2F4wWgBXjEioTRQ1lDL8KYQTlAxf2JPXD673r6OSv547fGNsv3I7go98J33PpIOeq50Pqdevs8ZnwBfat+iH5lP58/Aj/1AIWDA4Q1g+9FWYb7BlvGtQenSAnINAdKB50Gi8bRhVHEy4WURQAFI4S/Qq1BzIBEvxk+5z2Yu5s6XjfBuXh4ZLd6NlJ3OHhl9/14S/o4unx59DtePK/8er0P/tSAAL9k/5BBkYNtwqxD6cYNRacESUZIiD6IGscKhqTGtQZ8SBhINQTuBSRF0gYWBU/EKgKHAPf/mv9KfZf9C7w9OgG37za99yG3obgE9le1w7bpd4q5gfo/uGT5unu/fYc9Cr2RAB4BfUBgQh5CJINaA1dERsQPxXVGxYlGCKMHr0Zrx1uLVgfHR2DGaUXhhMVEdURqwzcCCT/Mf6T/aD2l+4y8JrreOD/4Freldy325/adNWE2cLfMOY9497hZeqk8IfxpPUE8lD40gO+BjkKkgRqEooPXBm0F84bQx7mJgEpwCX0ILgiliEhH6sc4RYYEk8PjRTnD9MGOAayBwQFd/wW9aPww/JZ7jzly9942UvcAt2M4GLWv9do2TPgK+dC7jfoverx9wH0+vjD/7wHWAbGC6IJ4g27ECYTVxwDGE4YGh/jItQjZBwfGoscSB2QGtQTIQ9CD5kRWgktCekHoACi/ff3hPgA8lTso+WZ40ni4+Hg2YbYBtu02jrgpdz730nkCfE+8T7xXvNZ+i38BAZyBCcHVhDlE/QXChNKGKkX4x3OIoAfwySVInYciB1XHwcbaxdqEMwLSgnBCXICeABi+mf74fOB9Sfv8OqE57HlCubl5tLgCtvo21ni/OBv3bPfbuL16ZzshO+E7xT4kPyD/ewGVQ3uCqUQFBCNFUMbQxwEHI8fYCQSJWIfNR/aH5EkwRz5FkkRFhHLDSUHCQOA+Vn35fmi87TzLPKz5g3nQeUh5dLiY+NV3jHgpeJ64aHhFOmW5xfsHu2r8XP79vaS/BD85wG3CRUOPg6iEeIX7RtPH9AejiSSI6omyCKEINUgaSQbHxEZOBJ8CPEHTAE9A+/+QPXc8yXwUe7X63/oyOEy4JbhC+Dm4B/jbtyL4THg8+Cc6F3qP+01613vYPBO+qf9NwBI/8gIYQvBDvcSLhiCHdUfjyHXJLonWCQTJ5cmniOFJq4ngh/3GQMTMBBECuQEN/zN97HwvOqT6vrle+LM43vds9uA3Bzj+t313enit+Ei5dji7eRZ7A/wk/Al9Jn3vvxU/UcEpgSnDWUPgxGBEkYVZxtFJHElDCLYIMYidyP8JmUoGSeFJMQaURNMDDkQ7ggNAuj08+0f6FDqq+pX4TPfGdwY5KTcetog2Nri5+HO4WThOOdr51fqce5G6yDyffxy/7T8/wFKCJQPMA9qDcQQyximG94aeB3TI7Mn9SlyJCEocS7XKn0kxR6vHHEWJRO+Dpn/g/hV7unwleuW7ebgx94l39fhPN571RHWU9qF33vdR9uq3R/lpueM66foeu99+rH7rfy0A9UDpQd3Dm0QgBI1EdgdNiF4H2YfPClFLEgqASlHKZ4nyh/FIUwj8hpQEekMxwcP+wL5dvsV8yHtneV75Wba7tqe233dzNNe0+Hazthw3sXcQuZa4gHp1+2X8/D0FPaC/u3/UgUiBQ8NXg9pDesV4RgnHUQeCCAAKOwk3CtYKWwqrSUjJ/ckEB7XGaMTGhC5CZkE9PvS+F/2Me5c6Orl4+G82z7b+twa1uXPJs8O2cfYptfl23rhj+R86572PfcD9z74oP6PBeEIfAieCT4PNhMLFhIZDR1zJFwlQSo4KLspwiy6KYEnZCO0HboekRpfEF4NcgdyB/P9Rvpr9Ovt3+De5fDkZNq61I7XVNNiyWrRctr93I3XGt/Y5abpjOzY+of5BvgN/cEErgnfBw8Pbg0tDcsTcRzjHhIgDyRPIssokC2QLG4pmiXDLJghHB77GfYaDg+0CS8F6/2o+DT1/fAs57nexuJK3+HWHdK50y7Rg8900/TU9NkS1grjJuVv7oXrLvhG+Tv8wgBaBokLgwpJCz4QmxTGE/4eXiNyIc4fVyZvLhUtkSUgL4MqwiGwHO8ePhpuFBENZgp1AQT6fviU8eTtWeOt5Wva9NdL1wXYM9HEzrXN08/40q/Zgt9p3w/kiOsg8pD12v0T/3IDDARGDtwPwhNsFZ0TLBjIHAwjMSd8J7slMCcHK44uNymQJ2okXCLkGw4aIBXKEWEIkgOr/nD2BPJE7/To99kj3DLc+NgM0oDQcMygzcbSG9V42jPcWdwr6BDwWe6P9c79gwA1AXUIiQkCEJwP8xNLGAMYYxyCIagkuCXqJ8ImASzgK7AssyX+Jbch8x0nGq8UFxC3Bt8DFfuj9VjsK+vb487bRtus1yPVUNMw0LDQp8+x0fHVod3z3+velOQL7fjx1/hm+/v69gJDC4YNNhA+EbkX/hlaHKYdZSBkKFcmeSaKKJMpXSroKngkryRHH3odRhnuFasNWwkx/lv62/HG8GzqduCU2MvW0tew0r7OUM1vzsDRVNMY1QTYId5n4Rzri+1s7tH02P3pAH8G3gj/CO4RXxg4GtgZ9x9UIiAkeChVJ+Eqrys+KsYr/CTjJ54kux/YGY4W1RNcDVcHAgJA+o7zje4r6ZXi7d3h2VbVCtPJzZ7PAc1007rUotX41q7dNucA6AntwfE7/Nb+TP/eBfQOqREFFJMY9BiXHfIkISZeJaUmoilHKL4oHCrhKv4omCDJHqgeJhuaF2ARRQodBJH+0PZ28ObrQucL3ezVgNGP02zRx8pQym3Mis/n0gjYW9zk4Lfj4ejr8q/12/uH+wMBaQglEY8QmRRRGaUceR1hIQUlkir8LEYnPSZAKJku8CvAJM8cex4lHaoYgBL4DgAM1QUy+o7zTe1z7Xnmx99m1hTPMc80z3/ObM1GzsjOHtNZ1PzcMuEl56TpSvF49GP6L/9yBoEKGg2CEOwYLRsmGzYe8yMFKbQnoynhJfgpfi0cL4InISQwI2QjdR1CGO8T8g4BCmEEWP059OzvV+xH6LDYw9Vo1JPVFswkyeHKLM3Hz6bUV9Qs2W7fGupB7bnuWvXb/TIBRgKPCwAQ7hI5FEYaDx3+I7cnSidRJbIqpS5RLIkowyuaKWEkJh92IAocJBl9E5AMyQWiAN8BF/dl7/jlOeSp1+3UydQS0ZTIcsW6zL7MgNCy0AjZKdou3jrnPO2S70vy9/up/9ICzga9EZoWUBgoGpwftiY0KFYsGyzFKvEteC+0LQgpXiaxJiolICFUHVIcNhY7D48HygSq/UD2tPGI6GzdY9n11X3S3cvDzD3JxsnZyX7RutJL1ifbjN104/vpge9V87j1Gf5yAzoHwA4xFbwYcxbBIkMnuysZJ/UuriweL7gsVCzfKm8oYygPJC8f8RpNHT8YKg53CSkHGv6U9Vbw4enF3H3bvtcW0E/HxMrNy5zK4Mpxy4PRNNDO2Jrdn+II5Fnk+u4Z9dP+WgBkB2EKshPFGLod3SPyKOwpyClhLJwumTEUMMwrgCm6KWQqlyq+IuAf6hyCGbERFxEmCMn7XPRC8SftXeDq24rVYtD3yGzMus5oy+LIxctdzq3SlthY37Xdld4+5oTvpvgc/bQAWgIQC5YU8hrbIEgiOieQJUAuFi/GMWouGTHtLuMpTiwALActUiM6IMIb/RlgFA8QJgVD+231lfFp6f7gEdfL1Q3QPMykyhfKCsy1xnXOR85H1TTSdtsL3mPgt+Ym8Bj3MfdWAIEG6Q3mEUweJyOAICQkqSx9L6IuZi+5MR0uCixeLDsv1So3KGAkpB88GyUYKRVVCvQEQftP9G/rtebF5JfZZdAnzebLwsgWy4TMr8l2yivMxdG11SPbu9794InmQu3S+FT/iQMbB2ENjBTjG0AjyCblJ/YnVSsrL3Ax4C6OLnIvuSz7Kb0rPiogJbkfOhzNFUERTg7/BC76n/Cn7ernfeM612PTOs9AzGHKoM2mzATKqMz0zwXUAtVd3PTg9eT95n/wZPZH/XEEaQlCDRoTpBmuIHUkzCZJKV4p0yyrL7Izxy1cLwwsoiu1KZ8pmySTHuUYqhH+D8YHTwH6+CvvZOkj5rHi19hF0yDQ5cwKzK3NLM8KyyfM3c1/1Vra5N5a4Lzjq+y99JL7zQBGBboMFRBHFKoZ6SPrJIklwyNKKQoviDF5L0Qr8yxzK+griitAJ7YgiRqsFFIPWg6iBpT7EPAT7ZnpJeZM3TjWT9IN0cHNp837zajLkMvbzILT8NUz3SbdLuaS6evxp/Xv/VoHHQlMDBIQ8hn5IMchnCFgI+4r/i8aL0wupi5QMeYuBCu0KYUoDiMNG5gUKBNhDzYIl/t29Mfyle5D6EffWdrs1a3TjdBFzfHMR8w6zIPL89EJ1mvcod9Q5djopO/q963/4gPNBtcLxhCiFccb8B6UIvgipChXKzwtYTAQMYMw/yxYLBYsayi4I3YdVBa4EnkL/wh7/lD3p+7w7EHnT+Kl21fWdtImz7XPmMs/y0LLDs9Y0PPTONrE4GTkRucs7wX4L//GAaMFwQxcEicWuRiBHUMiWyU/J7Qppi77L8Et8i31Lp8uOCoaJBch2B7mGOsPLwqYBVL+vvVQ7szqs+iU4Xnao9Sr06rSvtCBzZnLOs9R0EDRxtTR3fbj+OaR6UHwR/vkA70HDgnpC0cTRhhkHkseXSALIRYo1SzdKxks5Sw/MQsuVixmKAgmpB86GxQWwQ50Cg0EEPxD8AnxlO0N6LHcRdkI2cLX99BuzFLNDc8Rz+7KNs+H2Ajh999X4iHsovU1/G4A2wPYB1IN2xOBGjwbfhvIHqEl7ykrLLMrnyuyLwMxZTDBK9woSCPxIJkbgRaGDSgKfwHZ+dzxyfH76t/iF9732trV/tOq1fjQxssPy2/S+dAQ08bZVeDH4FLkxu7+92P8lP+tBZUKOxB8F8AaQxsRHm8iDyhHJyQrrCvnMOkqjy0aLfErPyZcIvQeBhfzEuwKYQgH/Lf2gvE37QnlfeER3r3X7dQZ1JTTEM9Uyf7OY9Hh0pbTY9mN3xfj/+oZ8Sz52vxiBTwKmw6QE1wZ5hvfHP0jESe6JjIo9CyiL/wvpi3eK0kt7ivdJVIfPBpCF28PEAceAsr6vPQw7VPqlOPd3ozbhNiN1JvRMtBqzz7OF86nz9vSLNgB3W7hveUv7kL0vP17ABIIgw4aEnUUyxtVIV4fFSOJKGkpGSqtLSowwi1TLHct5yseJNchYB+hFvcOHgzyBdv72vTR8Uzrk+T63nrc7tat1MTSn8+RzWLNXM5az17S39N72vLfc+bN6lPzGflSAHYGlAy0EtoUIxgGHzAixiTJJO4oNyk5LSMt/S0MLXMqLSrhJokjgxzYGPoRjAyzBPT+tvaV8vXrreYu3nzdx9je1JvSUtNOz0jLjM9J00jVedJB2FHg9+Z06jXwcPjE//oE1AqmEd4VgxloHvIgRyTwJ2IqUipeKRQufS90Le0qQSpPJtIiYB6cGi8TYwxYBuj+P/oD9AbudOYe4ZzdktmD1RvT+tGnz8rMUM5r0AbUm9Jw1m3bneSg6/7vqfTX+7gFzAqbEUwURRsZHhEikCS7KEYqqCqEKsYugy5CLugpFyoJKFQkXR/vGO4T9w2hB1r/Ofr480Huo+VP4SHdVNr81P7RvdBzz/DNBs9wz8XRUNY711/crOIT7MnwHvbi+ooEEw1pEP8U3Bk9HjcifCSNJsYqmyrGK4IqFy7lLO8sqifXJJIiciB5GTMTvgrcBToBpfpB8jXrYeVk4frdu9iF1RjQbc9dz7rSus1AzyzRI9ce2/XdFeRA6rfxrfgi/9EEowxVEmMXsxshIZ4jkCZUKdQqgC2nLCUs5SsHLXQrKSfwIqEgnh14FsMQmwn0A0/8xffC8Kvp1uRD3ynb1NUM1SLSJc8nz8LOD9Ea0QfV/NZb3LrfbOZm7bX05Pj3/1oGhA2gFHQWkxtcIKYjfCXDKeUqBitsK/0riSuTK60pVyWDIWYdZhwzFXkMFwbgAG/7yvO77nTnZuEu3nDau9c/06bSFNHaz9XRp9Tp1lvWx9vl4PrnaesZ85L3Vv+ABD0MNBGGFhYbGB5uIoIlkimxKecpXCq8LL0qlCmTJjUmNCHvHPgYoxS+DgsIAABD+j31GvEb6W3hBN5D28HZKtN10XvRtNLt0D/SMNcz2efbyt6h5QntsfPZ9Yn7/APzDCIRjRMNGOseVSPkJEUokCdaKiAr6SuOKcoryChuJQAhoh+DHHwWSg/zBz8Dfv19917vW+kM5GjhENkn1/PVGNPH0OHQndHI0XbUpNVr2xje/+No6JPug/Wq/CsCywWfDSsUIhmBHF8fCiQ6J44qSCuyK0cquytNLEcs/CfUI58fHh35GmcUtAvaAwsASvvR9DDpweU94XzdqdeW1HvSNtAjz/XO49Ef00rV+tbr2u7is+pg7RzwMvftAhEHbg1GEJ4XThtaIV0kzyb7KckrSy0LKw8v4i20KzAnXydqJHsecRizFfQO8AZEAbz8q/NB7KfmLuOl3HXYO9OQ0UbPKM9zzqnNo9Ax0nTUdNmI4Erkm+hS7vT2N/4sA7gIpg8nFZAa3R6bJD8lIikXK8Qu4y39LUstXS2GLEAqxSaTIMYcuRlYFFwLywWq/0j56PBa69Xl095z2RfXi9OhzoDOFc0RzjLNUdGi0ZPVcNlA4Rzm7Oqn8Gr46QAyBQ8MXhOnGEYdnCKEJWModC0WL/gtfi7KL/8vJy1JK8QoCSXHH48cOxdJD9YIYgMj/Nj0MO5W50Hh/9vx1i/UX9A8zaPMucsSza/OVdB+0srWwtpk4S3oVOxW8oL6YAF8CKgOKxUnGq0e5CT+KUIrqiwBMKMwqzGmMSsw3yyWKzIpZSTuH7IbcRQ3DWYHwgK5+UjynuqH5Qbf/dk81gjRSs6TzDXMDstvzJXN7c/f09fXMN174i/p2e4o9e/8qwMXCwARDhmrHC8hDSfmK6AuZy+CMIUyFDR2MSAvxi/+KqInBCLLHzsaxBF6Cl0F//6P9hvwVegj4VXcydjX09DOZc1Cy9DJJMq7zWTPJ82/063Y0d4P4pnqbe/59vr9aAWWDSAS6xk2IMEidCiBLtswOS8cMgQ10TSUMTowSzBrKhgo2iK1HvMWvxGnCr0CUvwr9e7tEOZu36HZEtUk0jLOocrVyMPIusoyzK7MSc780+bYEN885HfrdPFi+Er/dwh/D0IUgxv/IH4lhCvhLogwbTLpNH41pDQRMpUyUi+bKlknbiQlHekVshAbCbUB4Pqo8urreOTc3LvXPtIuz4TLrsiTxmDHEciKyZHM8s7a06PYQ96z5UPsRvQF+jYCuQhNETsY3x4zI4IoLC0PMvIzRjViN3I3tTacNcMzyi8QLU0o9yInG1UVMA9TB0D+Pvav8P/n8+DF2FnTXc9HzBLIksVVxXDE38bcyHrLgs8M0xLZVuBi52LvRPVO+7ADiAyCFBQaSiBZJZsqQS+nMyI1CzZqN284DDhCNVI0Jy6qLBkoeCIuGswSrg7jBlD9lPOt7sHnCN7d133QRM6sytrGpsJyw4HEh8YryMXJMNCR1D7bLeDo6Qbwtfes/t0FOw8VFl8cZiI9KPcs1DKxNBw3PDjIOnQ5ljlgN5Y0OzA2K2goFSJRGZAR+AsAA3n7p/Im6yrj3NtP1JTNCcugyLLDZ79KwCjET8W6xRnJpM4v1ijcmuHp6FzxmPr3AEwHWBB7GCAeRCR8Kg0wbzMWN643LztUO2g8VznGNw41zjDdK8cldSKqF3UR9gg/Ahr6LvHH6BLhk9ot0TXOGsoixs7A274TwVvD0MRnxhbLus8X163eJORW6/Hz8fwyA7oKrBJ0GnIgnSbjLBswmzRhOT066jqCPWs7HzqENt81wS8ZK3QjzB4eFxAPVgZZ/zv3vu6K56bdz9ZU0DbM/sc+wte/fb8TwPbAxsPQx/zLUNF018Pfm+Yr7sn2RP8gBR8NoxRyHbAiAyl/LbIxCDdyOm07QTq+O/o7vjogN+Mymi1NKIgjgxyEFX4LuwO+/I717Ozi45LbatO3z8HKK8Z5wXm+rL9xv07BcsWUyObMyNE82V3hTOo+7274GQBcCIUPzBa9HT0ksCndLagzFzc5OnA6Sjy8OkY9AjmWN/cwPy5yJuEjPxrqEpwKsgC/+qvx6Org4ZjYBtEqzabJhcOawMS+rb4Uv4LB48bwyu7ONNNw3BPkiO3e8077XgN6DN0SkBkAIQknUS20MN00vzeOO3I7Nz0+O6I7fjdRNlkwuyqkJFsehxnrDZsFaPzV95fvdOYO3enUPtDOypTHvcGSvyi/cr6wv2vBZMjizBHSMtaE3szoi+8E+d/+Dgc5DzUWyByjI10pri20Mdk1wjfhO047JTykOlQ5szaINAAwISkpI/IawhVVDsAEqvpf87vsJuSJ3JXUys+6ydfDW8GTv92/sMBDv5HCRsYJz7jTqtlg4FPpZ/I2+ncCBgrsEq4Y9h9ZJCcrLS+aMxs2GDmUOmg6HTtiOxU4ezU8MiovxinZIQMadRM2DQ4FNfsc8XTq2OIv3KnTZM99yDjD2L0+vzC+yb//vljCocS1yyzTw9r54NPoM/H8+dUC8gqeEysZlCCwJTorjy6LNCw2PTjtOlw6QTuwObc4zjU7MvouFio7JNsapROuDUgFdP4U8rvqxeF03fDULs9fyeHEgb+ivBK+0r9HwRzBZcW2ybrRlNmg4ZzoJfDQ+CUCpQutEvQaax8aJskqdjBBMns2HTgcOQ06ujlRORg4cTWyMUMu4ikiJj8eXhbZDLoHQP749/HtkOQ93OvWU9FqymvGncHLvpW7lLwOwInCDsRfyPfNedQA3jHnaO+y9tj+IQhMEeQYqyCPJeEpGS/CM7g1QjceOus5DjnwN1k3WTVDMnUuJirDJYYgURrgES4IywFC+gjy9eew4cfZ0NJAzIvHq8SOwBO+I7y4u2K+fcLSxyTKQdCl1p/gVukp8976pwOjDFUVQh0TJHYpXi4yM2Q1CDnkOT47ATvZOcs4CDiPNVQxRi7SKDEkXx7nGAoROwm7AGP35u/85kDgutnC0T3MJsZqwYK+4bxUvOa5sburvWrESsiQzePT0txB5RDv0vcJAYIK7RPaHK0iNykIL+Y0DzgXO1g9lT2LPhs+oD2bOj450zWBMlEuzii4Iw0dERfRD40HsP0J9fLsZeS223nVBM4tyIzB3r1Dui25w7fBuHm58bsZwk/GJs451JvcE+Vg7iP5pgGdDAQU+xzvI58qrDB7NW85AjwhPvc+1j4uP2U9RjxIObE1/TGOLqkpwyP/Hf8XzhAECeT/wPaA793mmt7g1TLOM8hIw7q9zLpHuJm3C7cluKi5xr6NxBPLEtFs2CrhAOtU9HP9UwfJEA8Z1iF8KMkuBzQlOJw8pT2iQIg/h0DxPfw9kzsBOKs03y9DLO8meyJBHEAWNxDFCKEAcPc978rmL+Ba2B/QuMiLwmi/NrsPujy3irflt8C6wL17wbPHwc4/12vemOZ576v4fAImDFgV+hwRJc0rZTJSNvU6tT1LQGVBikCKPww+mTxVOho3/zKWLqYp7iRwH9MarRSVDvYH/v86+Ivv5Odn34PZZtLsy6LEmb9jvcS6abnXuEa5S7vXvdXBd8aly1TTDNoY4pfpyvI7+1gEmAzCFfgcyyXGK6YyejUEOhA9+j9KQIRACT8KPv87QDkZNkUy0i3BKawkRx/1Gh8VuA9DCW4DM/sR9Ufs4OVK3lvYmtFgyyPFm8Htvrq8ObtVuy28M74AwZTEV8iizTDUN9vW4S/pFvHv+J4BWwoDEwYbqiJHKdouhTP/N7U75D3LPkc/5j7DPVs7HjlzNqoyUS9dKpklOCAHHCkXERJfDHwGKwC0+dDz1exL5vLf5Noi03rNW8hYxpzC3cAyv8u+pb64vxLCd8Mdx5/LndET1zPdaeTw67zz9PsZBKMM+hPMHIMjTSpZL1Q0nTg/O6w9bT4xP7M+Tz6ROys5KjVfMzguaSoRJVAh0xvUF1ITjw7GCKYCmvzF9dfvKepb5crdo9ai0L3MeMnhxQzDOcAWwGa/dcCAwKbBZMSdyM3Nk9Mt2bvenuW/7FH1O/3ZBiAOqxbAHAgktCmOL50zATiQOms8VT2OPWM9kTt6Ogc4+DXeMWAuGCrwJTYhLB3qGKAU4w8YC20FDv+L+eDzuu6M513hcto51Z/OesrHxiTEc8GOwAPAIr86v/y/wMK2xCfKHM5q1A3Zft8G5hvur/Zv/78GEg/uFuEenSU7KxsxQzVGObk70j2FPj0+DT7QPEI7xTgJNoYyTS3ZKXIlHiICHR0YDRTUDjULwQU2AET61/Tf7u/oo+JC3aXXudI+zKbH98R0wx/Cm8CQwJ3BwcCzwqbEt8hmzDXSodY73Uzj7+my8vX5IQQKC2YUHRsWI3goQi5oMrU3FzovPCs9oT3XPOg7RDrdN4U0tTBGLuEprCVlIXUdKBiWE1wP0wu+B0sDn//R+f/0OO/U62/l4eFB3InX59L8zTbLG8mLyHjHasayxZDGNMjqyVfMX88h1IXYBt6D45Poae/j9W/+wAWYDBMUsRrvIHwmoCuvLrQyPjXxNuI2hTYmNT4zQjGPLoYsqChRJb0h6x09GjsWnhPZD6UMOwqLBiwDgP94/ZH5nvbT8krvGuyP6Ebl1t//24DYjdeS1erUE9F20NvOzc/Vz87Qc9KV1EPYSttQ39TiwOcV7ZP0u/pvAA0HBw3YE60Ydh10IXolXynJK2ktuSxwLRksdytFKc8nMCUpI1QhfB5sGy4YNxa7FIUSXhCaDcgLxgmgCN0G+QPIAU3/Pf3O+RD35vPQ7yTrp+aR4jngVN2M2gbXodO90v3Qks+2zxvQudF51KTWQdlC3F7fZOUR6wPxM/Zg/GwC/AjCDpcTMxitHKUh/iT+JjUozii/Kc4pSyq7KDYmfiTvIlwiISAIHpYc5BoUGmMYkhYfFEgTPxHXEGoOdwx7CeoHfwRIAfz9rPnl9BvvcOou5RHgetq51hHTXc/0y+nJB8gqxzDHY8hMynHNK9AO1SbYnt3e4n/p+u9k947+FQXOCxESUBhIHREiRyZrKXMrGy38LTMuYS4SLjEsVipcKAkngSSMIqQgRx5WHMYajhlSF5EVwROVEukPiA65C7gJaQf3A5MAdPxW99zybO7B6H/iAtyN1tjTyNAdzCPIm8WpxM7DRMTvwyLGV8lOzhnSu9UI2qXgA+gK7w32zvwQBLALphIzGTseKCMLKDks7S7QL4cwFTGkMRgxYS9qLNUptSdbJewhEx80HL8avxn2F8UVoxOqEq0RiBD0DikNVAyJCvEISQU4An39HPot9RHxXOqO407cPtiM1OvPlcofxoPE8MHhwRXBbcFCw5HHGczJz27TEtkZ4Ivnku809kb/mwVWDjkV6xsaINglbSqeLnowpDA0MX0xSTGVLzotyimUJ9Uk4SA0HoIbvhlpF7AWJhUWFZ0TkhMNE14SYxIlETMSiBBsDwIM6QjVBc0BGP0j+OzxyOnC4GrZydTVz+rKF8YfwqK8kLteuwu8vbyNwG7FZcosziTTf9m14PjpjvJv++gBIArnEXEZ7B2yI1Eo8SwJLzcxCDDALswtti75LK4qsCb8I8kgkB2EG2wZ4RcvF+kWexZOFYkVyBVDGA0YRxkcGEgYbxdGFx8VsxGTDegJEATh/7v3Yu9N5T7b4dVozW3Gu8CdvNe2KLKtr0+wdLEetYO5Kb/5w2jLjtJx2lHiuuzf9pkAighYEdUYPR+SJJoqeC7aMLgy2jK/Mckvly6NLdIr4SnkJrIiUR4AHQ4bjBrxGO8YrxjLGfYZbxo3GugbGh8wIa4g5R7rHYAcgRrpFv4RPAxNBpr/dPcZ7TnigdggzabFkryRtHysZKpMqdimM6RjpR6sebL5uGTA+cdo0Qvdjujt8bL5bAR7D+EZDCARJggqiC/jM7823DVzMy0yNzFCLjoqlyYHJfoiPiBpHCgZRhftFvUWBRfNFgEXURhZGh8bxBx2HjEhhyLAIuMh0yDPHpIc0BgpFLAMMwbZ/Y70Iuv54UTXCcr4vgS3ya6cp1qkf6XsooyjmKS5q9qwBrxcw7vPbNcD5Bbu6/gQAfALJxX5HZgkjynBLLsvxzGFM78xkC9ILXcqYiafIuQewBs+GpIYzhc7FW4ThBKyEugSYxXwFuUYzhrcHGceuiBEI8UlyydBKEQnUSWgIYMfnRtvFhMQwwj5/5v2kOyA4XPWF8vKwC21uKwdqP+lL6RRoBqi8aPXqzGxILwew5LP29ih5UzunPjHAakMKRXQHIkiISfLKZcsKC02LfUquindJv0iXx7SGjcYAhYbFJES0BHgEM8QVhEeEnIT4RVIGfUbyB0xIEwjWSbiKJoq6yw5LnsvSy4bK50nHCQEILkanRMqCxUBDPbP68DgYdW2yQG+vLCWp4SiiaHInUOcPp4opH6pW7CcuB3BZc412r/nd+6D+G8ArwzTEw0bJB+uI/QlTSkIKHsnFiN7JJch5h9qGfcXXhWCFR0ULhRjE6ATZRT8FeAVbheAG2kgCyJNI6gksCdWKrQsqy4eL9EvCzFSMQsutyjTIxQgTBwDFqoOBQUr+wXyY+dl3BLQRMZnuPKqeKE8oDuesJrrmQKdNaO3qauxKrgGwyvPJN/X6fzxB/lQA7QM0RSRGvoeAyJqJWcnBiffIwQiNSEDIKYcRRmGFrgUPBQZFEsUhhPJFCsWNhi3GFMapRwkIN4ihyQnJbEnOSoILTktii3lLAwury3YK2wntSRUIZ4dDxcXErYKgQP0+kDyBej+3BnUu8lTvcmt/6O3oB+gfp7cm4OeaqPDqXiwFrj4vznNCNx959vtWvSC/Z8IkxBkFhEZUhxgH74ijSGLHzUe6R51HnEbFxhWFf0TKRXlFRUWgBUgF7MZ+BuaHI8eVCPCJucomSluK8EsBC+sMG0wLC8ULsUtaCz7KVwmZSMIIO8bFRdNEU4LlQb+/+X3gO1T5tfcy9TYx1W8ZKzZpJijKaUgoQ2e3p/4pK6qbrGhuX/Dz87T22vld+vG8OT7EweTDqgSUxZxGa4bih7KHsodHRzdHKEcJBlLFZkTcBQiFaAWJheKGDIZTRvNHNgeoyF2JgArpixQLEYsfC3zLmsv5S48LTcrcSm+J70laSIGIDYd6BogFY4QLAzRCO0D3/779yjwfOcP36XUqMoMvqmzwKjhptakP6RYn4ii0acAr/GyabqpxdfQXtxW5r7uo/Sb/fEHOg92EtgUPRg+G7EczRwZG5QZvhinF4QU0RBGEAoSAxMvE6UT4BX0FloZshsIHyYi+iW5KSYrDSuaK7Yt1y3iLBoswiuSKiwp3yejJLchwh+2HpIcFhi7ExIQ9w5uC00Gnv6Y+I/wOehH3vPUc8gCvKevDqi1o8GjWKFjoaqgoKcGrv200LuDyE3Vjd+D6OnvZfhX/08I4w5MErATMhYMGQYZxBe/FuoWqxVzE2EQAw+mDlkQAhLZEykV7hebGy8f/yA9I5AmZSsWL+kwszD4L0swhzGWMO4tUCqEKIwmPiTVHz0drBrnGf8XthVcEDQNeQqgCk4HkQL5+Zrzp+sz4xHYd82Rwgu4o6taoxqhFaSuo8yhRKQ5rZm1krz3xtDRBN1G5rLyCflg//YEFg6SErsVNxbJF+4WJhfWFeAVOxI3EAsODQ1tC38LFgxpDk4RVRXTGCEc1x74Ia8krSepKqUtVC+iL64uny3LLZ8t/SoSJ8cjBCJqIM0dqhtSGggZXhc9FZIRVA6MDDQNwQo6Bqj+z/dy73vnmt1i0l7HWrxnsCKmeqLaoxyliaP3o9mrT7QQvP/Dm9AJ3FrmpfDH+G/9RgLgCuIQ+xLgEgUUYBQdFCwT8hHSD7QOig6iDV8L1wo/DR8R6hQDGDwbHx9ZI7MmGCn1KXAsPi+RMf0wmy6KK6Qp+Sh4JzMjUB5KHMMa5Bj5FoIWdxWWFIgTiRHQDxQPQRBtD48MIAYwAE/4XvHx5wve7dHzxs+5Y656pMiiyqMBp16koqRVqgS3K8AAyUbT4t/E6kD06fuUANwFuQ1kFd8WJhWUE+sTmBP0EvgQsw7HDCEMJguLCdgIvQszEN8U5BcZG7MeOyPDJqsoSynCKk4txS6TLUAqDCfTJbglYCP3HgAaeRcMFy8X7BQZE58SXRThFakUGhJeEM4RnhJ1EWAMDQVl/UL1Be1q4z3Zk8tTvXiwL6i8ouyh/aLgpMCkc6d0r8S9u8g605TdJevA82z7cAG8CAkO9BPSGDYYuhXSExMV2RMgE8IQRw/QDPALfgpmCtYK2g4oE/IWEhjvGl4eMSSlJsQn7iaTKdwrWSxOKA8kjSGKIb4gYB5iGVIViBOQE+oRGxBzD28RYBN7FA8T1BFhESsTNRNaEckLzwQd/Wn1muyG4pHY8MnGukWvz6ngomSfbaC4pyurVK8OtYvB8cxS2ynlpvAM934CKQliECgQVxToFlAaVRcyFHkP+w22DZcORQsWB3wExAXxBo8KQA2AEIgT+RcpHG4gtSTkJ9Ep0CkqKr8pySmhKHMm6iJ6HwUdARu4GGUVWREyD1wPWhC5EMsQvBGuEsgTFhTNFFgUVxPyEcwOGQjB/jf3au+G5mnaisyDvPKwUasKp6agQZ5kpbOsKLGbtCW+fcr72Vvm8O9Q9VP92wRLDUcPsxCREREVsRTQEmQOngv+Cf0KGgvOCC4FswNrBkcL3w4vEGkTEBqNID0j9yOLJTgooCl1KwUrmCnSJpYlfSIZH/8bpBuqGuoYJxafE7sR1hCIEcgR2xILFAIWABb1FJQTLBMCEvUPHAxaBff7ZvI76YHf29R2yI64EquDpeyjDqF3oA+mhq3As1q5/8Ps0P7d7umI83v7RAF2CSkObhJCEQsUBxT8FRER0g2hCKsIKAlEC9MIEQVKAt4EqQnQDg8SRhX+FzQc1B9tI1glbCeYKfAqNCmLJeQjJCReJNghHB/VG/gZERiMFr8THhI7EgoVfRUbFTsUxRXLFroX/RUmFPsRexDtDMoFHPzD8YPoS98j1s/ITbm2qh+lOqSZojefXqOsrDW2C7vOw4XPZt3D6RL2GPy2ABIF3AvSD8UR9RCQEBMQPA/LC3wH4gQ0BsoIUQmgBikEjAU2C6oRIBWCFy4b4iAcJMslOiaCKGIpzymPKIkmuCMZIwQjUSDXGowXZxjIGawX4RPaEBURTBPyFSoVjBQaFvQYbhkSGKkVzBPQEjoQxQlV/y30M+rB4c/XOcxyvkux8KOgnj6fp6NaojOnzK+9u4HBL8vp1TflRPKW/DkBsAMJCCYNkBHeEX0Rdw8PD4kMDwonBkIEwgTrBwoJOQd6BF8GbwyJFFQZhRusHAkgUSQnKBspbCmKKXIpaCgTJskiVyGmIZAgnRyIGcIXLBdJFtEUgxMfE1wUVBYTGCMYlxiyGIkZyBlKGe4VhxE4DNUFUv2G8trmPt0s01LIDL13r/GhuZ37oRSkuKKUpkmxa7zWxLvNOtjF5JbwLvxnAAgDdARKCjoM/w0WC8YK3wj4CLAGzwWEBLYFKgh4CrgKfAvvDccS1RjtHcMf+yHYJd4p8Cr3KUcoLichJ8MmcyX5II0dwBuyGv0XmBb8FcMV+BR7FMITDRQBFWoWjRclGY4ZIhsjG3caXhduFX8SXQ96CO/+B/OL6PzeutQ+ysO+brGXoxGePqA0or2hxKXFriC5X8KQy3zWZ+IY7kL43v4XAyEFlAjHCagLpAv9DCUKWgh+BHEE5gLKBcoItQwnC9MJZAo9EagY2B47IBsh0CLGJWonpShBKMcnkib0JPkhFh5IHOkbQRxSGtcXtBXUFRgV2BSGFFoWnBgyGtYa0xrHG/McCh4wHWkbdBh/Fc8QTQtrAzX5ou2V47fZ1898xem6navInxCdpqFUo0qk9KhWswK9FMYb0O7ZQOb+8Rn8K/9/AQcDBAgvCWcKNwhICHYGMgY+BKID/wK/BoUJoAstC04MRQ5zE7sZaR9KIUwjIyb+J6QnmCbRJuQmsCXjI0khMh6CGrgY1xflF0oXbBcMFwcWwhR4FRsZSxqzGjQZ9hpMHNIf7h8uHzgbAhlNFR8SkQxPBGP5vu5p5QHbZs9ZxQK8ra74op+dmqAupO6mWqgQsBi6TcZNz0faAuPE7d73awAmA0gEewWZB6kJpArZCuIHKQWFBFwGQgfMB5EIMgoRDNIN/g8ZE2gXlhrlHBofCyKMJBwmNCaPJQIlBSSuIbUepxxtG9caWxqIGbwXEBa5FYkWxRenGNUawRuIG9UZRBoGHPofFyE8H88alxfPFKMSWw9HCEn9TPJV6Qbgb9a9zH7DY7dDqtKfyJ7Pok6nS6eQqwy06r/Gx/3RityW5//wjPtwAaEDnQRbBnQINQo1C7AJdgasA+kDqgVaB8sIawp4CxkMXg5/EkIXzRpZHY4fuiGGI8UlIieyJs4kQyNPIQYfrh2tHPYaVxiOFxQX7xa9FTsWyhaBGNUZ8xqFGmkaYBvGHGwe6R4PHnccuxtqGSkVxg+UCvEDmfwe85Lo2Ny703rKY8LMt82sXKIioWSl+qeAp4mr97X0wMXKcdN03ZXmPfEq+7MAOwGxASYFjwfbCLwH3wb5BH4EcgO/BG4GgQgZCnUMeg1nDhMRhhY3GxkeHB/FIBQjXyXDJlgmoSSyIiIiQyCrHe0ZJxj7FqcXUxeuFnwVAhYeFw8ZuBmJGtMbsh08Howech+OIL8gtR/0HX8a4RbsEssPWQnwAOn1VutD4frY78+Kx+y9v7IppnugwqJIp42ncavTs6K9csMKzPvWXOG86in1Rv1dAPMBDAPaBYEHPQhKB0kGnwXgBEUFxQXLBlIIzQthDf0N3g7fEngXZhowHeIf4SFnIooiGyI2IQAhDyFsIDMdZRlkFXwTrhOiFXsXdBcYF7gX5BmBG8ocHR06HqQfwCD0IE8hYSHbIPQf3x5JG8AWiRFEDYIH1wJ0+gXwReQN3HzSq8qdwyy8666yo5+hC6bKp92pQ7A0ufq/vceN0ezagOT678f5Gf9KAKoBpgPJBjoIKwmNBxEGRATlBOgEGQZrBkEJXwscDdgMjw7iERgW1BmbHW0fNiCOIa8ieSKKIGsfSx54HREbUxn5FTkUZxMkFtMWlhbZFV4Xgxl/HGIe6x6vHgIfmiD1IV8ixCG+IWUhNSCZHOAXtxGiDEsHqwF8+TTxROca39HVmM1wxAS987Npqm+kdqXqqWqsuK4vtZe+78a6zVTX4eG66yLzefr3/GD/SAA1A0sEZgVYBCME6wSiBSwFxATdBsIJLQ36DnoQghEsFB8YjhwyINkhliLDItcijCKgIWMgxB+pHYsa5xeAFoAUIBPXE/oV1haYF34X0RhfGiMdoB5lIPYg5iEjIk4iRSFBINoe5h2qG+UYUhQzDk0HqgEI/Tz3ae/P5MvaMdLJy8bFlL+atHqoCqKApkOt8K5drwO0ab5dyCPRa9gx3xnmqPCa+kX+xf2B/J//NgNVBwAGSAVVBHwGQAYTCFAJUwxHDg4RIRHDEZETQhjiHUUixiKNIU0g/CDIIe4hrSACHwEdzBnsFo8UkBNJE2kU7xRhFXMVHBfJGMcaqht5HXAfpCFwIrciRyEQIBEfKiB4IOUfsxsjFk4PVwoRBiECW/wl9bHrquE52WjRu8rHxBS/s7TOqGChwaJVqD6tGrK7t82+GcX8zVzWKOEg6oP0xfojALP/8/6Q/3EEQAenCJcIdgiHBrsGkAglDB8P5hLnE2QUHBRXFxUbkR8jIdgh2CEmInQilSEOILUd4RwtG20ZthVXFGATwxPFEpcSUxL7E7gVyxegGEAaiRvNHWcfzCA/IDAg3SCZIb0gdB/pHBYa1BbHEioOBwgvApL7dfWJ7B/kWNvp1CHMKsXWvdi3U63kpC6hSKbHraCz2bVPuinDMs1K1iTg1eke8ff1FvwZAEAB5f9zAgYFNQjsBxAIOgafB9UJuA0xEBYToxT2FUAXihjhGmweLSK7IycjKCE3IE4gFCA8HqQbxRhQFs0TQxJCERMRpxDDEDQR7BJcFE8WrBdLGtEbqh2WHr0flB+PH0QfGCDiH+QeQRx2GQUXnRTqEBsLmwSo/rf5uvN36w7iz9kr0rjLVsUWv9O1OKv2oS6iB6l0sgm1Fbj4vEfHbs+t2hfjVuxy8Wz4Fvz1/mr+lQCHAoUFjAYGB5kGWwdECPQKAA9YEkYUBxYgGCMZ7hkNHNwfSCI1I9ch5x9zHq8eBR2wGtAXjhaKFUAUzBHEEBsRVhKnEuES+hOxFvAZVhyyHWQe+x7tH20hrSK0IowhjCDrHycffhxOGQ4WIRMyDhoJ2gOV/7z5mvIu6WjhPNnH0tHMmcZAvuC2F6+HpsqhOKbIrtG0sbjkvnbG8c1B1mHh++pb8u333v2s/1oAuACZA3MFmAdkBx4HuAdGCV0KYwyYD80SFRXBFgUYYhioGekcWyA7IQkgwx9zHxMe2hrpGOkXBRfEFHwSAhEGEPcOuQ/vEU4UDhWpFRoXXhmrGvEbtB5TIWEhJCCHH2Efpx8yH+8eSh2YGzQYRRVlEacNIgn2BML/wvnx8nnsQuVJ3NrSKcsUxnbBDbspsZ2n7qLZpSKtE7Z7u/m+hsSUzqTX5d/155rxQPka/vT+Xf1N/UEAlQUeCIEIqAVrBQoGOAqMDAUQ8hHPFbcW0BfmFtkY4xs8IFchpCAMHlcc8RqpGpwZgRjvFnAUChEmD7kPSRHBEZ0R2hGXEY0SDBXcGKgaiRtgHIseih+GICEgcCBAIB4h/CBsIDAdmBl/FSETkRDcDswKNgXU/Xv38vDE6yLmU94+1LHKxcTbwE28tbRkrc+lCaQvqRq3DsEsxSjGZMzM03/e2Oqi9RH58vlg+3785f2GAAkETQUiBgcFngWvBsMJgQtlDiUR4BTZFoUXdhc9GYUbuB5FIaEhQx6HGQEYlRkwG5IZ5RXsEE4NZgwYD+wRyxJ5EHsPShCcE3QWwRigGeIZuRrDHNMePCDmIOohoyLVIgUikyCsHpYcaRqsGBUVkRB+CvwFMQEE/TD3avKQ7Nzlgdz71E7Ojcj+v6241bL6riWp0KXqqDOxhrikvXjFZM+b13LdZebo7/z2lPk8/j8BugKZAMYBNgR+B1MHdwcMCGIK7AssD6QRsBQRFvYXShlBG44cdx3xHR8enhxaG5UagRpgGOcUKhLZEO4PVA+ND9oPag4TDRQOhBFiFJYVahYFGL8Z4Bp0HNIe7iCYIZwhcSI8I88iHSLiIPsfJB6xG5cXKRPMDoELIwi1Atn7VPVu7z3og+B12AjShMrqwqq6FbWOrvSo16Q9p2CuJLeovF7CWMmc01Tdb+dE77/0q/j3/DIBGgLNAUIB4AF2AjEEBgQCBUcG2Aj7CUYNIBBFE0cVeRdkGNgZfxvOHa0eqh58HXscLRtCGTAXyxQGFBYTSBIAEPwOXw4nD/gPVBGjElcUyxWYFr8XsxmuHOIe2CAGIrUjFSTBJFgkdCODIa0g1h8UHpsZ1xTyDqAKJwbIAcb7ePb/8KbrmuQV3q7W2M9ByDTCpbuqtoqxcK0Pqdmo5a4PutHCLMj/zLHUTN6J53/vRvXp+Vz8Ef52/zEBXwAGALkBiwUnBq4FTAUCCBALLw80ElcV5hXLFV4WOxm+G7McAhzYGuYZ/RgmGDcXnRWMEroQ1xChEdYQbQ/HDiwPWg9JEPITuhjeGYcX/BU1GRAeKiH1IPUg6iF4I9AjzyPEIoggoh49HpsdNxrRFNYODwoABr4ByPyQ+Hz00+4T52XfOdoY1pPQxMhKwR67frZisp2tn6qyrxa6l8Owxx3MRNKn2tDi/+sO9Gr5vftG/B/+Rf8MAJT/fQGzAqMEwQQgBfQETgfGCmMOwBEDFGYUmBNUFBoWkBgeGvoa+xlaGPsWCRfZFTEUKhJwEQAQMw8fD0kQ0BAjEOUPKxLPFUoYTBnwGXoaohorHOgf4SOXJRIk8yJQIqEihCLPItggZxyBFkkSIw/CDNYI3ATb/tz5TfSZ8HHshejJ4UbaotOIz+nJCMK7upS1RrAGreuuzrZrv3LFp8iwzdPV198O6EnvSfYN+sj6IPuv/ocA8wF9AUkCXwIWBNoE/QQdBhAJOAzpDvAQkhG1EPgQehPsFiMZvxp6GmAYohU8FBcUYhSGFMYTXBLnD0QOVQ4pEMISJBRTFGUTohS2FuMYcRl4GsAabxvoHLMfwSF5Ie4gDiHzIeAhBCFUHygdUxoGF4oT3A/4C9QG5gC++0b43/QY8E7q9uPf3L/VBdAoy7jFIcBRuxi2zbBarm2ycrs3xZnKvc3o0tzayOKi65fztPdm+Lj6gv0C/jL9S/43AIUBkQJnA+cDJgRKBo0JsQ3kD48ReBFXE6UUsxauFlgYFxnrGWsXBxVtEkER+hCkEfkQIg9YDQoNZQ30DsMQDxKaEsUTgBUiFykY0BhYGZ0ajRxpHnAfYyC2IQsibCEKIVsh+CDjHpwcyxnJFScRiw1GCpIGCgNI/vL4PvMF8DHrTOQI2ynU/s48y/fGecFcug20tLCnsTW4FMLhyTjM1c7C1DHd1OOQ60zyFve3+ID6jfnz+d/6S/4SAAIDcAOaA14C6QPDBtML2Q8YEgMS1RFyEVwSxxSPGC0aLhm7FiEVTBNlEXMQvRD2ETsSNBGCD1UO3Q2LDlcQNxNVFa8VGhUBFc0VuBdkGpYcDh7IHpEfOSDEICgh2CHrIaYhpyDkHggcyxcdExEPPQwRCsgHMwRF/k32ju8e7Orrruq05E/ax89LyfPF+cP3wHe84bUdsRC0K71kxf/IsMz20mnbROMB60Hwm/Pk9E34aPsj/8P++f7B/voBhQOsBaAGFQldCTILgw3eEOsRfRIBElsSKBPOFcQYSBljFrcSZBAiERgS9RErD7YMewslDPkMsg1pDQwNrw1vEK8TCBYSFtcVwxUIF/sYDRuSHHwd0x4hIAwh0iAMIccgxiA9IEYf/BvTFyQTow+aDBsKnQY2Agr9Gfd48Yvsi+jp4lTcwdXX0DjKfMOuvdC5hLQXsp61Dr8FxlnJ9cs40T7ZHeIY6qLwLffG+M/4Qfn9/Bb+XP9V/zcB3QBHA0QE4QYRB2sJsAqQDsIQIRNSEmkSLBI3FAUWOxhNFwUVxRGTEOMPjw+6DrsOsQ40DVYLJwsxDQMPgA8YEOwRbRO/FGsVRBZjFocXyBn8HCUf3B/aH+8fyiDRIQsiYCH+H3UeyRu4GJgUeBA0DcAKUwe/AsP98fhf9KbwWe066CPhydlN1J7OMMkOxHTALbvjtOKv97HruqbF6Mv0zibTAdp44Wvq9vMS+rv7Jfvo/Ir+/QEdA8UDhQILBDwEZwaMByQK5Ql7C0QNgxFdE24U4hLoEesR3RTmFwEZSBc6FCsRWA88D5APzA/8DrINBAw8DNwNNRDNEEEQ+w8vEv0VAxm3GZwXcxTeE70XKR2WH2QePxwYHPUdxh/gH0se1RvTGFQWVhTaEb0NNwkUBSICjP4I+nX1RfGE7FrnXeFP3CrXa9F+yt7ER8BQvHO2X7Oxtki/XcZCy5zPhdUN3Dnjn+v28tz3ifly+sv7If5s/3b/+/65//8AygJJBAMG+wZ3CA8KkQzrDiMRHRJ8EukS9hOLFL4UkxQIFI8SoBF0EbQQrQ5WDUIN0g3gDfMOkQ+vD1AOBQ/MEZMVfBchGBIYIRiQGAEaIhwOHlkfFiBeIJQgySAiIcohLCGUHisaoBV6EiARJRBjDQAIeAHm+1r4IPY588ruPOgE4bbZadSvz3TLJsUdv2a4DbNvsBm1gL0pxUHJIc1Q0WvXq9+36W7yzfZ/9yn3ePmh/DL/JQAFAsYCDgPJArQEUgbcCBcKeAwPDrQQ+RCFEUYRHhNEFPEWkhjQGLAV0xLtEOIQLRHeEM0PlQ0UC0MJ0Ao9DyYSIxEDD7EPuBJ+FmMY1Ri6F94W+xZcGfIbYh0vHXcdkx5GIJ0gXCA5H1UeaBwPG5sYTxZEEvsODQtcBzcDov8V/DD4RPPK7RHoTeLQ2znVPs/tyS7El76kuF+zT7CCs2+7XMOcyHXMztAU1jje9ueU8KX0TvYc98f4qfvf/fP+Nv/AAPAB4APUBdkHMQjACbUMchAuE7cUtxTtE7AT6BTDFkMYcRjMFtgTYBEpEDMQ9A/lDn4N7QtdC/AK/AtgDI0MIQwCDvEQchTQFTcVxhNwFCcXCxqPHGsebR8mH7Ae1x7rH1QhZiFjILkd5BppF4UUXBE/Dx4NSAqiBSsAQfse96fzZfB27GznpuAk2ZXRNsvSxCzAobsUt4iyxrPzuSjC7MZJy33QXdfF3eXlRO108z30cPRi9HP4WPtH//b/rwGvAfADmwVWCc8LiA0EDl8PtBCxEVETthQRFVcU3BTNFaAV1hSFFIwVlxXoEsEN7QktCmkNEREOEiQQHAvzBmcG1grQEPgUfRWdEkMP3g1DEPcUXRpkHnog4h9nHaIc8h1aId4iPSNjIGUdZBlFFq4S7g/+DCIKcgfOBHIBOfyc9uXxse4G7ALo5OIC3KvUO8zdxf/Aqb2HuUS35LbzuXW//sVSy/nQT9fN3qbkDutr72jza/SR9hP4wPvu/d4A7gE6AxsEAwbGBzkKFg1rD2gQWBGeEp0T2hNLFL8UuhUwFq0WuxWnFFwTuBE2DxINFA2IDR0OMg0dDMEK3ArLCvsKIQtADMgNTg80EAgRhhEQEjsT6BWvGOga9xssHZMd7x2THpgfWyCMH28djBo0GPAVBRTGEV4P4wuDByMCg/wC98/yDPC37fvp4ePv2wDUN80ByI/EcMEIvYu4ULfFu9XC8cmzz+HVRtsM4YbmyeyW8Rv1q/Y9+JD5HfuN+5z8h/7YAHICnAU0CWkMIQ0NDiMOKA/JEOETMhVbFBoSxhBcEW4SMRNnEqgRPRDCDvUMHAxMDNoMOw3IDE4MNwyWDNQMZwwPDFcM+g2FDzkQZhAREbYS2BNVFr4YtBsbHFgckxsLHfIdgB4QHbobNhnRFioUPRJwD1IMUwlpBzwFhwLO/c73BvLp7ont/etQ5wHfQNUnzRDIP8VzwwLB0bwKuX65FMFSyvfSKtgf3pDi8+dw7Nfy+/aR+Xf6PPzI/Zv+Qf5Q/uj/dgLRBBwHqAnIC5wMJw3kDrwQ0RIBFKwUShMfEiARtRGBEqUTCxMPEfoNJQzxCwwNGw4JDlUNGwycC8kLbA09Ds4ObQ4lD6sPehCfEDERRRKfE28ViBdfGXcajBqGGq4a6htCHBwcqhr9GAIWehJWDzoNBwxSCvwH8wPk/9X6Ovb58R/vo+z26AnkyN0a12jPV8k5xX/Dy8DRvZS8k7+2xV7MYtOV2iPiNOfT6qruBfNn9nD4h/rl+5/86/tT/Gn9gf+CAA4ChQSMCHwLxw22DlAQmhCUERkSfBT7FDIVTxNgEuAQbhCuDxQQXA/tDUkLywkDCioMow4qEPoP9A7xDVENqw3WDj4QLBGEEcgRWxLQE40VuRYjF+0XkBklG2IcahwmGzoYXBV/E0wToxLkEMANmwrPB3wGlgW2BL8BFf3x99H0TfMV8cbrTuRM3PLVjtABzTbKpMc3ws2837qWv07HYc8O1tbbTN+N4b3kp+uV8lf4lfpb/Ij7RPv2+uT8+/7mARsEhAWkBngHuwiACgYNVw89EbgSOxMdE+ER4hCQENoRgxOxE2ISzQ9eDYELiQuqDFoORA8MD+wN3QySDO4M2A0YDyQQpxDdEA8RBxFrEW0SIhQAFowXeBjcGAQZHBnCGZsaiRsSG4EZuxY9FH0RBw+1DK0KZQg3BccB/P3A+mz34fQY8h3v2+rN5RfgJdsN1szRr8wFyVXEtMDQvRXAAcWKy2jQ0dVv28vgueSx6KztgvLS9Qv4XflT+gr6PvpQ+4P+EQEwAxoFXAgfC80MLg4hEGcSZxMRFGYUXBW/FFETyRHcET8SXRLREVIRCBBdDkoNyg41EaMSlhH7DxsP3A++EEwS4xIWEgQQiw6HDxETMxdOGTMZRRc1FpsWfRgeGnsaHxmMFlUUDhNZEuYQlg5bCxYImgUnBBsDfgG5/tv6Bve186zxYu/I6+DlSN8t2arUXdHrzkHMKch1wyu/S75pwu3J+tGf13Dct98W4/bmaO2E86H3JfkP+sL63vvW/AD+v/6QAF8CZgVYCK0LTAwuDGMM1g6TETgU4RQzFFASdBGEEckSnBOyE00SdhBXDyMPSw9KD3oPABDJD6UPWA9ZDzAPlw+QEKcRbxIREw8UxhSfFQEWcBYRFxAYbxiJGH4YTxmgGfQZSxl/GKEWZBXhEzUSLw/HC2cITwX3Ab/9kPn19RHzwu8V7DDo7ONR4Gfdj9oy1oXQN8vzxwXGqcTFw7DEHsgOzTLSJ9hN3r3kBumm7TnxjfVU94T5B/pt+6r6GvsF++D9DQDWApwDGQb9ByQL1AzRD1cRzRJdEkUTdhPyE94SIBPnEioTRhKNEmASWhLnEOwPww9VEK8QaRBOEAEQHg/jDdMNMA+KEWITOhQpFOsTzhNeFDwVwxbvF7YY4BhgGK4W7RRME18SVxEgEUAQZg4LCtUF9gFiAEH/Xv8k/hz89Peb9NLxZPDW7c3p2eNF3lLZ+tWe0zjSlM97yxDHOcWAxszKedDR1jLct98E4vDk4umv7svyyPV8+If5B/oh+lX7H/ze/SMAwwM8BnIIGAlqCmULcA02D9gRIBMcE7wRmxESEgITaRP6E94TRxP4EWERYhGIEV8RSBGfEcYRrBFrEV4RdhGzEXESixP6FCIWcRb4FZMVmRXWFT8W6BYnF5sWSRXaE/ASqxJtEmgRwQ98DbEKUgd+BCsCcACD/mj8yfnm9q/zYvAE7VLpqeUm4mzfG92E2sDW6tFhzdXJKsiVyYHOANSP1zvZ5Nq53lrj3emz71j1YPcu90n1n/XJ95/6Q/0C/28AtwDaAZoD7gYVCkAMbg1CDkEPlQ/hD+UP9w/FD+YPdxC8ELgQiRBUEQYSThKbEV0RuBGWEjkTOBNHEn0QIQ/rDnwQ0BJkFEcUhhLAECgQaBGVE9MV3RbUFpcVNhSkE+ET8xPTEuIQww5MDSkM6ArbCAAGLAKo/in8lful+7D6rveC85jvzuww66vpMuf94jjeKNrd17zWx9W5043QD872zbzQsNSx2Dfcnt/b4k/mD+p87orxxPMB9ZH3l/ka/Hf9bP9wAJYBZwIxBO4GlgmIC1IMbA1UDowPnxDtEQwTYRNTEysTShNWE4cTfBMeE5USFRK+EW0RvxHREbERBRFMEdkRuRLnEhIT4xJIE8QTDhRQFOEUNhUFFXgUNxTFE+UStxHgEGoQ2g/9DogN4AvMCZMHnwUIBL8CIQFY/9D8Fvrv9rHzB/Eb747tDuu3553jLeBv3VnbJ9n21nvUx9F1z4fOi9BI1M/Yy9uT30Hj8+eY6l3unvEL9bb2L/jW+L75Nfom+5b8C/9TAQsD2gRnBxMJlAkvCiEMSA4eD1cPGg++Dn8O4g4LEBQRkRFxEUERtRCQEMUPwg8dEHkRaBEVEegPDRAAEEwQsRB0EYESiRNmFGgUKBTAE+8TlBScFWQWpRbqFVkUSBJ9EJIPrA9yDyYOsQu3CHkFvgLUAKv/dP7c/GD6j/dO9Hbxl+796/3o5+Xb4rzgZ95n21HXstNS0YTQz9Di0vzV7dit2QHbA96x4+zoL+7/8Q31svWE9Sj24Pi9/Jz/vQBmAbcBtQIXBIoHvQrJDV8O8A42DzoQwhBWEZ4RSxF/EPYPHRA4EPAPBxCdEEgRvRAtEMUPjRBGEQsShRGfEEAP6g54D/4QPhJNEhoRAw/oDRUO+g+EEZ0SgRI1EnoRSRE/EbYRVBEPEAwOOQyOCsoIJAYhA+f/KP32+k36Mfru+ZD3C/Ru8LLup+2b7C3qhOb64SHeo9tc2tbYutam04bRN9Eh1PLXh9vc3VvgkOP55t/qce7w8bLz9vQx9qj49fp//PD98/60ALQBnAOABZcIrQrtC2QMUw19DjMPig//D78QIBEOEeAQxBB7EN8PQg/1Dt0OAg8bDzkPdw9tD9sObA76DoIQ3BGVEqwSxBKBEokSrRK8E1oVqxa/FisWbxXNFP4TrhOwE80TuxLSEGoOdgyLCrIIDAegBccDlwGL/q/7RPgO9bbxWu+Q7X3rxec542ff6dyh2yjaM9g21XLS88+hzz3RldXu2bPdzd9A44/nPOy570Hz5PaP+ez6iPte/AT9J/6a/wACjwT4Bv8HbQnPCkMMAA2tDvUQfBIKEmcQmA/wDjsPFA/BD2QPqA9fDuoNzwwVDaMMSA3YDZAPnw/pDrwNdQ2nDb8NKg7GDjYPeA5ZDVkM1gwjDsAP3xDkEU8SABItEbwQkhBYEJ0PaA4BDcgKRgi/Bb8D5wEVACf+uPxB+4z5aPdh9QLzkPDz7cXryOlw5zHkheAl3a/akdjj1h3WH9ZQ1l/W49cA21LfKuOB5mjpgexs70DyOvXE95D5Jfo4+//8GP8mAPcAAwJdBM8GwAn0CycOLg7HDU4N6w63ELQRbBHfEP4Psw6pDcoNKg9KENEQ6RCZEaIR0RDaD8IQZBLgEyMUgRP5EcIPDA7sDc0PLhIgE2USSBETEbMR9RICFEIUFRMKEWcPuw7uDQcMuAhJBa0CJAH4/+D++vxa+n/3avUH9Un1mPSm8dfs7edB5BTib+Fd4JzeANsm1xjUldOq1X7ZHd2o36bh9OPJ5lLqdu6C8kT03vSR9bT3JPp4/F79e/1g/ev+egEaBfoH1gllCS4J/wmcDOQO6Q/dDiEN8QuADKEN8w6pDtUN/QvVC9wMVg6uDoQOBA71Df0Ngw5oD/kPoQ/fDvsN7g2TDnkPWxADEZsRrBFaESMRiREvEtESDhMWE0kS4xBFDwEOfg34DCgMRgqMCIkGegQ0At//I/0O+kH3N/Vw83/wnOyg6H3m2OUx5dHi7N/T3KLaute31X3UuNVs10XZsdoH3TfgfuMQ5xvrmO+C8k70qPWI9xT55fkD++z8a/9aAEUBswH8A2wFEgjPCYwMNw30DaYN+A5YD/sPig/oD+sP9w+TD8kPqA85D4YOgA44D/YPUxBEEEAQ5Q9fD7UOfw81Ef4SYxOnEs0RnhEBEpUSGhM7E8wSbhI+Ek0SvRH4EJoPrA6KDfsMvgv8CSUHYQTLAdD/Af47/AP6SPhQ9zD3tPa79BDxU+xZ6N3lJ+WH5EHjHOC427fWJ9Rf1AjXWtlC2wPdC9/34STlYema7G/vYvGP8371sPbi91f4D/mq+Tn8pv4PASMC0wMJBQ0HIwl5DKsOyg+DDl8NtAzUDS4P2A+2D9AOrg0pDUsOFBD3EOYQUxAREN4PCBD0EHsScBPzEn8RhhBBELAQHBENEicT1hNrE9ESERMvFP4UXRTjEkQRdhD3D5cPIQ68C0MInQUZBAYEbwPeAdX+1vsR+dr3c/dP97j18/Hg7DTowuXa5DrkU+IU30fb8dey1UbVvdZh2W3bDNxd3aLfkuNC5h7p/eo37XDu3/CB84D20Pda+FH4DvoV/c8ALgPYBIIFCQb4BncJQgzLDZsNLQySC8YMcQ9aEZQRkhCFD9wOgw/ZEDoS3hEGEQYQJRCLEOcQ9hDyENgQzRD2EJERRRLPEvISMBPKE18UXBTeE3kT1hImEmMREhHoEHQQbA/QDUYMPwvbClEKgQmlBygFVQLr/5L9Hvuf+Dr2jvOd8DjtcOqb6ODnquZp5Kjhyd+g3hTdPtoM2K3X5Nly3MHdft7236HiVeb76QDur/B38vHyVPSO9SD3q/d++eD7yf66/2oAFQF+A7UFKgjGCXELJQy9DFcNEQ5ADhgOVQ7MDpQPIRCoEGwQ2g/xDgoPnA/FEIAQBRAiDzQPyw6aDrQOLRDCEcwSRxLKEdURvhJlE7MTtROLE/4SIhIwERkQRg9kDoENjgx5C90JCggHBqEETAOqAY7/M/3d+gX58vdv96T2yvTO8SPug+og6A7nZeYq5efi8t+v3BvaCdnL2WLbdN0F36XgOuI95Mzmkekq7HbuoPBv8hz0gvXJ9oj3OPji+bn8SP8gATcCQQNIBHcGywj2CvUL7gs9C3ILzQxkDhcP+Q7ODskOKQ/BD1AQfRBNEBcQUxDPEBoRfRCUD+QO+w6YD7sQuhGQEtwSmBIlEnASZRORFDkVGxUNFFMSixAmDzMO2g15DZ4MEQtCCV4HnwUeBOECeQH7/3T+o/z6+cL2zPPx8EXuCuwt6+XqbOpr6CzlPOGZ3mTdCt4B31vgpeAv4N3eHN+k4XTmUeoh7RfutO/C8Dryf/Pi9Sr4V/km+Ur5PPsi/qIAPQJyAyUFAAfCCFgKAgy5DGIMjgtnC+4LEA3rDUgOSA6vDgkPVg+WD20QxBEoE5oT1RL8EJAPPQ8jEE8RJBLuEfYQ+g9mD6IPexCaEWASlBIyEqYRshC9D24OJA3SC+wKJQpVCdYH4AVoAwkBNP9e/g7+qf12/PX5c/aK8wHyvvHW8N3uIuwE6rXoEuj85lDl1eKV4CHfV9++4ITiW+Ni457jt+UT6fXrP+3Q7fHut/Ds8rr0svbf98v4SfnM+uT8Vv8pAbwCqARvBmMHhgc7CG4JVAq/ClsLnAzhDVAOsg3nDOEMiQ1EDu4O2A9nEO4Pww4CDvYNVA69DkgPqw/tD6gPLA/jDh8Pgg/gD1gQGhGVES8RIBBgD88Ocg7kDSAN7AshCicIhAbkBc8FkQXVBLcDAQKs/9j8TPoc+Hr2sPTJ8mHwG+4G7NHqmure6lLqfOjS5UrjGOKN4sbjfuT05DHlBebs5inpt+uQ7iXwDvLi8xz2+va29jr2wPfy+ln+HQBsAZ4CmQNbBJsFOgcRCf4K6wt7C2IKCgpZCiwLNgzbDP4MQw0HDkkO+w1uDZkNZQ6zD0oQMhAUDw8ORw2LDQ0OXA4JDo4NLA0wDVcNlg3+Da4OwA4PDisNowxjDOILEgvDCU8IyAZyBWkEyQPSAlUBc/+3/SH8f/rC+En3evbU9dH0CPM68VDvx+1W7Pbrb+v/6WLntOWQ5eDma+fB5yHo4+hG6ULqU+zS7mnwrPB08VPzuvW79sb2cPez+Uf8Y/4IAJMBWwLqAsUDwwWWB1sIJwhMCGAJDwoKCrYJRwrjClMLmguUDG4N6g2LDWINeQ35DV0Oiw5/DvYNHQ1XDFYMngzJDIUMYgyKDA0Nkg22DekN1g2pDU8N7wxDDEwL7wmlCGMHBwZ/BGYDnQIFAgoB0v9j/lP82/n59+b2hva79U30gvLq8OLu7eyD6/TqS+o86d/nb+fl587oW+nH6YLqfeun7MjuLPGw8qjyhPKO87f1gvdj+PX4KfrV+4D9dP/gAdADOgT9A3YE+AVsB30IFQk3CewIlQiuCJEJgwrnCrsKwQotC3sLdQvGC44Mjw36DXENywxiDNoL/gqICrMKgwvpC8sLSAsLCwYLaAvZC80Maw2KDfgMeAxoCzMKlAhSBxwGBwURBJADvwIFAZP+2/xw/HX8PPze+4X7hfpP+ET1mfJa8UPx2fBv74ftzutW6nDpremb65HtVO5O7cHsF+0/7jvvo/CF8R/yhPKV84v0jPVF9qz3t/lS/Ej+Lv9g/+z/5wDsAQ8DbQTEBeMFEwVeBAYFpwZvCDQJowmyCZUJ/wgSCfkJVQsmDIMMVwzfCygLpgq1CpcLVAyjDJ0MwQzTDOMMxAzLDPgMSw1dDSsN0wxJDJYLDgvwCrsKIAroCJMHQAaABZ8EmgMbAn0AsP4O/V77PPoS+UH4pvdw98T2KPWY8lnw8O5J7vPtju027Vvs+OqZ6cvpeetc7RDuHe6F7njvjPC+8SrzZvQE9VX1ePbh+Dv7hfwM/cj9sP7o/84BRQRFBrwGzAX8BJUFYwfhCG4JOAnCCEsIdQhGCR0KNAruCS8KOAvNC1MLeArnCfgJNwq7Ck8LtQsSC70JyQglCTQK6QrICisKggk/CVEJdAkxCXAIeAcCBygHIwc/BqMENgM/AqwBbwF7AQcBt/+R/Yz7s/oS+5T7KfuJ+Uv39vTZ8nzx7/Bt8fbxh/HV7xPuYu2n7UnuHe+o7xvwpPB98Rzys/Iq8zDzOfNc9NP2L/lz+qj6ffqV+vT7Tv7cAJ0C9QL8AXYBmALEBAEG5QUmBd4EXAWdBgkI3QjsCK4I6gjgCeEKVAsBC54KbwqaCr4KzwrSCswKfwpKCooKJwt4C8gLwAuvC14LDAtdCrkJJwm/CEoI/AfSB6gHhAeRB0AHbwZ2BVwEMAPlAdUA2/+w/gH9KPvb+Qz6m/oJ+hD4CvY49Rj1APQl8tHwCPGA8Xjwtu747fTu+e+G8OnwxPF08nvywfIH9J31Q/ZM9u72X/h3+fP5oPpQ/Br+Vv+x/3AAWQFIAssCogNUBLgE0ARFBd8FiAbWBmMHCQjOCBEJ8AjHCO0IUAlxCVsJ6ghHCLYH3wfFCH4JXgnSCJQI/giSCdsJmQkQCY0ILQjwB6kHNQeCBqMFIgUWBesEcATUA1oD5gIqAvQA0f8a/7P+eP5K/pv9/vsB+ub4yvhl+SL6TPqF+bL3R/Um81DyD/My9GP0oPN68pzx6fDP8MzxrfMD9f30zfRP9TT2t/bp9hn3rffL+F36yvtp/Fz8Avw6/Nv9QQAqAsYCbwLiATAClwN9BcIGCweIBmgGEAcaCIUIhgh3CKsIAwl0CdAJtAkQCVkIbAiECcwKCQsICu0IkwglCeYJEgqjCd8ILAitB1UHQQddBzMHmQa8BTAFBwUeBaYEqQOYAioCBwJLASEAOv9R/vv8VPuG+tj6avtM++L53PcA9uz0ifR/9AH1U/XH9Bzzb/E08Z/yPPT59PT0EvUi9en07/TL9Q73kPdl9/n2y/e6+Zr7lPwV/aX9SP4s/8QAlALSA+YDYAP5AmIDXASGBUwGoga3BhcHZAfFBykIuwgTCV0JuQkKCrMJIQnLCPIIRwnHCdcJewnUCCEI2Af6B0QICghqB+cGmwZfBgAGeAX9BN4E3ARcBKcD/gJxAq0BngBj/5T+c/6v/kz+MP30+zj7C/vP+jb6hfkP+Tf4T/dz9tH1rvQ48xLyLPJ38+704vRz8yTyvfL89BT3Q/cc9nn1F/aB95T4QPk0+VH51Pku+4P8S/2A/eP9af9TAYsCnQJ6AuECgAMfBNUEnQVRBpkGoAahBgQHgwfdBzcI0Qh+Cc0JRQl1CO8HCAhpCLwI3wipCE4ItgfxBjwGEgaBBkkHywd8B2AGXQX3BM4EiwQQBNADogMKAy8CkAF4AXQBTwE3AVUBMgFzAFT/WP7L/Yn9/fxx/Oj7YfuL+qH5DfkQ+SL52fi99zj20/RJ9I/0ZPUd9j/2gPV19ET09vT99YD2zvZs96b4iPk6+Vr4pfhY+mb8jf0u/sv+o/8zAGAAvAD+AfIDhAX1BVsFsQSiBJwF/gYaCFYIMwg2CKII5QiOCPIHCQjSCL8JGwrFCdMI/weOB7QHMgi2CLEIRAhhB1sGdwUbBSsF+ARwBNUDiwOAA0MDgQLIAXYBjwFmAaAAk//Z/nf+NP7j/an9hf3p/In7I/q/+Zn6cftG+yT6wvjl93v3mfe195X3J/fd9h73XvfN9mX1cPTY9Cr28vbv9tH2Rffj91n4t/hj+S365/rP++f81f0M/tf94P3l/lEArwFdArICBAPHAwMFOQbHBrEGXAZEBs0GowfpB3gHCQctB9IHUAhrCGcIKAjQBy0H+QYbBzgH0wYgBnsFXAW5BSQG8QVCBZUEVAQoBMkDGANdAuYBqAFhAQ0BnAAwAKb/Ef+E/ij+6f3K/Xr9F/2f/DL8Kvxa/DT8cfuM+h36O/o3+qT5Evm6+Ir4M/j29zz4kviH+N73fPeF9/z3gfhd+fj52Pnx+CT4Ofh8+VP7nfz2/Kz8svxP/Uv+sP8xAZoCPwNBAx0DVAO8AzEE4QS4BZQGSAcHCNAIOgkHCacItQgXCW8JQgnS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\" type=\"audio/wav\" />\n",
       "                    Your browser does not support the audio element.\n",
       "                </audio>\n",
       "              "
      ],
      "text/plain": [
       "<IPython.lib.display.Audio object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#@title Run Inference\n",
    "import soundfile as sf\n",
    "\n",
    "from IPython.display import display, Audio\n",
    "FastLanguageModel.for_inference(model)\n",
    "\n",
    "def ids_to_speech_tokens(speech_ids):\n",
    "\n",
    "    speech_tokens_str = []\n",
    "    for speech_id in speech_ids:\n",
    "        speech_tokens_str.append(f\"<|s_{speech_id}|>\")\n",
    "    return speech_tokens_str\n",
    "\n",
    "def extract_speech_ids(speech_tokens_str):\n",
    "\n",
    "    speech_ids = []\n",
    "    for token_str in speech_tokens_str:\n",
    "        if token_str.startswith('<|s_') and token_str.endswith('|>'):\n",
    "            num_str = token_str[4:-2]\n",
    "\n",
    "            num = int(num_str)\n",
    "            speech_ids.append(num)\n",
    "        else:\n",
    "            print(f\"Unexpected token: {token_str}\")\n",
    "    return speech_ids\n",
    "\n",
    "#TTS start!\n",
    "with torch.inference_mode():\n",
    "    with torch.amp.autocast('cuda',dtype=model.dtype):\n",
    "        formatted_text = f\"<|TEXT_UNDERSTANDING_START|>{input_text}<|TEXT_UNDERSTANDING_END|>\"\n",
    "\n",
    "        # Tokenize the text\n",
    "        chat = [\n",
    "            {\"role\": \"user\", \"content\": \"Convert the text to speech:\" + formatted_text},\n",
    "            {\"role\": \"assistant\", \"content\": \"<|SPEECH_GENERATION_START|>\"}\n",
    "        ]\n",
    "\n",
    "        input_ids = tokenizer.apply_chat_template(\n",
    "            chat,\n",
    "            tokenize=True,\n",
    "            return_tensors='pt',\n",
    "            continue_final_message=True\n",
    "        )\n",
    "        input_ids = input_ids.to('cuda')\n",
    "\n",
    "        speech_end_id = tokenizer.convert_tokens_to_ids('<|SPEECH_GENERATION_END|>')\n",
    "\n",
    "        # Generate the speech autoregressively\n",
    "        outputs = model.generate(\n",
    "            input_ids,\n",
    "            max_length=2048,  # We trained our model with a max length of 2048\n",
    "            eos_token_id= speech_end_id ,\n",
    "            do_sample=True,\n",
    "            top_p=1.2,           #  Adjusts the diversity of generated content\n",
    "            temperature=1.2,   #  Controls randomness in output\n",
    "        )\n",
    "    # Extract the speech tokens\n",
    "    generated_ids = outputs[0][input_ids.shape[1]:-1]\n",
    "\n",
    "    speech_tokens = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)\n",
    "\n",
    "    # Convert  token <|s_23456|> to int 23456\n",
    "    speech_tokens = extract_speech_ids(speech_tokens)\n",
    "\n",
    "    speech_tokens = torch.tensor(speech_tokens).cpu().unsqueeze(0).unsqueeze(0)\n",
    "\n",
    "    # Decode the speech tokens to speech waveform\n",
    "    gen_wav = codec_model.decode_code(speech_tokens)\n",
    "\n",
    "sf.write(\"output.wav\", gen_wav[0, 0, :].cpu().numpy(), 16000)\n",
    "\n",
    "display(Audio(gen_wav[0, 0, :].cpu().numpy(), rate=16000))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uMuVrWbjAzhc"
   },
   "source": [
    "<a name=\"Save\"></a>\n",
    "### Saving, loading finetuned models\n",
    "To save the final model as LoRA adapters, either use Huggingface's `push_to_hub` for an online save or `save_pretrained` for a local save.\n",
    "\n",
    "**[NOTE]** This ONLY saves the LoRA adapters, and not the full model. To save to 16bit or GGUF, scroll down!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "upcOlWe7A1vc",
    "outputId": "b7b41fe1-b0d9-466b-fb81-e97b7e9416c1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "('lora_model/tokenizer_config.json',\n",
       " 'lora_model/special_tokens_map.json',\n",
       " 'lora_model/tokenizer.json')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.save_pretrained(\"lora_model\")  # Local saving\n",
    "tokenizer.save_pretrained(\"lora_model\")\n",
    "# model.push_to_hub(\"your_name/lora_model\", token = \"...\") # Online saving\n",
    "# tokenizer.push_to_hub(\"your_name/lora_model\", token = \"...\") # Online saving"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "f422JgM9sdVT"
   },
   "source": [
    "### Saving to float16\n",
    "\n",
    "We also support saving to `float16` directly. Select `merged_16bit` for float16 or `merged_4bit` for int4. We also allow `lora` adapters as a fallback. Use `push_to_hub_merged` to upload to your Hugging Face account! You can go to https://huggingface.co/settings/tokens for your personal tokens."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "iHjt_SMYsd3P",
    "outputId": "bd8cccb7-6b95-45bf-80da-de120988447e"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Unsloth: You have 1 CPUs. Using `safe_serialization` is 10x slower.\n",
      "We shall switch to Pytorch saving, which might take 3 minutes and not 30 minutes.\n",
      "To force `safe_serialization`, set it to `None` instead.\n",
      "Unsloth: Kaggle/Colab has limited disk space. We need to delete the downloaded\n",
      "model which will save 4-16GB of disk space, allowing you to save on Kaggle/Colab.\n",
      "Unsloth: Will remove a cached repo with size 15.1G\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unsloth: Merging 4bit and LoRA weights to 16bit...\n",
      "Unsloth: Will use up to 3.99 out of 12.67 RAM for saving.\n",
      "Unsloth: Saving model... This might take 5 minutes ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588\u2588| 28/28 [00:01<00:00, 27.83it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Unsloth: Saving tokenizer... Done.\n",
      "Unsloth: Saving model/pytorch_model-00001-of-00002.bin...\n",
      "Unsloth: Saving model/pytorch_model-00002-of-00002.bin...\n",
      "Done.\n"
     ]
    }
   ],
   "source": [
    "# Merge to 16bit\n",
    "if False: model.save_pretrained_merged(\"model\", tokenizer, save_method = \"merged_16bit\",)\n",
    "if False: model.push_to_hub_merged(\"hf/model\", tokenizer, save_method = \"merged_16bit\", token = \"\")\n",
    "\n",
    "# Merge to 4bit\n",
    "if False: model.save_pretrained_merged(\"model\", tokenizer, save_method = \"merged_4bit\",)\n",
    "if False: model.push_to_hub_merged(\"hf/model\", tokenizer, save_method = \"merged_4bit\", token = \"\")\n",
    "\n",
    "# Just LoRA adapters\n",
    "if False:\n",
    "    model.save_pretrained(\"model\")\n",
    "    tokenizer.save_pretrained(\"model\")\n",
    "if False:\n",
    "    model.push_to_hub(\"hf/model\", token = \"\")\n",
    "    tokenizer.push_to_hub(\"hf/model\", token = \"\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And we're done! If you have any questions on Unsloth, we have a [Discord](https://discord.gg/unsloth) channel! If you find any bugs or want to keep updated with the latest LLM stuff, or need help, join projects etc, feel free to join our Discord!\n",
    "\n",
    "Some other links:\n",
    "1. Train your own reasoning model - Llama GRPO notebook [Free Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_(8B)-GRPO.ipynb)\n",
    "2. Saving finetunes to Ollama. [Free notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_(8B)-Ollama.ipynb)\n",
    "3. Llama 3.2 Vision finetuning - Radiography use case. [Free Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(11B)-Vision.ipynb)\n",
    "6. See notebooks for DPO, ORPO, Continued pretraining, conversational finetuning and more on our [documentation](https://docs.unsloth.ai/get-started/unsloth-notebooks)!\n",
    "\n",
    "<div class=\"align-center\">\n",
    "  <a href=\"https://unsloth.ai\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/unsloth%20new%20logo.png\" width=\"115\"></a>\n",
    "  <a href=\"https://discord.gg/unsloth\"><img src=\"https://github.com/unslothai/unsloth/raw/main/images/Discord.png\" width=\"145\"></a>\n",
    "  <a href=\"https://docs.unsloth.ai/\"><img src=\"https://github.com/unslothai/unsloth/blob/main/images/documentation%20green%20button.png?raw=true\" width=\"125\"></a>\n",
    "\n",
    "  Join Discord if you need help + \u2b50\ufe0f <i>Star us on <a href=\"https://github.com/unslothai/unsloth\">Github</a> </i> \u2b50\ufe0f\n",
    "\n",
    "  This notebook and all Unsloth notebooks are licensed [LGPL-3.0](https://github.com/unslothai/notebooks?tab=LGPL-3.0-1-ov-file#readme)\n",
    "</div>\n"
   ]
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